RUWAIDIX

RESEARCH / DRUG DISCOVERY · DRUG DELIVERY · THERAPEUTICS

From molecular design to biological response.

The central question: How can therapeutic interventions be designed and engineered to act selectively in diseased tissues, overcome biological barriers and produce measurable, predictable changes in cellular function? My interests in drug discovery, drug delivery and pharmacology grow from that problem. The intervention might be a molecule, a targeted biologic, an engineered carrier or a modified cell, but its value must be tested in an appropriate disease system.

My experimental path began with chemical sensing and synthesis, moved through polymer interfaces and vascular imaging, and reached mechanically injured lung cells and inhalable formulations. Those projects led me to a recurring problem: how do a molecule's structure, a material's preparation and the surrounding biological conditions determine what it actually does?

I want to investigate that relationship at whichever scale best fits the scientific question: molecular recognition, physicochemical behavior and transport, or a measured response in a living model. Kidney disease therapeutics and renal cell-targeted delivery now interest me alongside pulmonary pharmacology and biomaterials. A good PhD project might concentrate on just one of these problems. I am interested in developing deep experimental competence, not assembling a project that contains every technology on this website.

Design & recognition↔Materials & transport↔Biological response

Drug discovery, delivery and therapeutic function.

The scientific problem is to connect a therapeutic intervention's design with what reaches the intended cells and what those cells actually do in response. My background in chemical and polymer systems, pulmonary epithelial injury and inhalable drug carriers gives me a credible experimental starting point. I want to extend that foundation to more selective therapies and more decisive measures of biological function, without assuming that one project must address every stage.

DRUG DISCOVERY / MOLECULAR PHARMACOLOGY

Discover and design interventions.

I want to investigate disease mechanisms and signalling networks, validate targets and design or improve therapeutics. Interests include medicinal chemistry, chemical probes, small molecules, protein–protein interactions, targeted degradation, RNA medicines and targeted biologics such as antibody–drug conjugates (ADCs). Mechanistic target engagement and functional pharmacology matter as much as affinity or a screening hit.

DRUG DELIVERY / THERAPEUTIC ENGINEERING

Control where treatment goes.

My interests include targeted and locally acting delivery to organs, tissue compartments and specific cell populations; nanoparticle and biomaterial systems; bioconjugates; intracellular transport and release; and cell-assisted therapeutic delivery. The aim is productive exposure in the intended cells without unacceptable effects elsewhere.

THERAPEUTICS / CELL & PATHWAY MANIPULATION

Change what cells do.

I want to manipulate cellular behaviour through receptor signalling, pharmacological and genetic perturbations, engineered surfaces, therapeutic immune cells and controlled changes to tissue microenvironments. I am interested in how interventions affect inflammation, immune activity, injury and repair, fibrosis and cancer, with measurable cell-state and functional outcomes.

How I would approach a PhD laboratory: I would begin with the lab's central biological or chemical problem, then identify one experimentally tractable uncertainty: target dependence, effective tissue exposure, intracellular release or a measured therapeutic response. A medicinal-chemistry project could concentrate on target engagement; a formulation project on transport and release; a pharmacology project on the function of a perturbed pathway. The methods would follow the hypothesis. My longer-term interests include chemical synthesis and bioconjugation, controlled-release materials, nanocarrier formulation, cell-surface engineering, microphysiological systems, imaging, molecular assays and quantitative PK/PD. Computation and AI are optional tools, not defining requirements or claims of mastery.

An experimental precedent: cell-attached polymeric “backpacks” have been used to modulate immune-cell behaviour through sustained local cues, including cytokine-loaded macrophage systems and myeloid-cell approaches in preclinical disease models. This connects materials design, therapeutic delivery, immunopharmacology and manipulation of cellular states. Shields et al., Science Advances (2020) ↗ · Kapate et al., PNAS (2023) ↗.

Explore experimental directions ↗ · See my documented research contributions ↗

Three questions that connect my work.

These are connected scientific questions, not three mandatory stages of every project. Each begins in research I have actually contributed to and leads to techniques I want to understand more deeply.

01 / MOLECULAR DESIGN

What can molecular structure control?

My foundation: imine and optical chemical sensing, chemical synthesis, research into heterocyclic compounds and literature-based investigation of the SLIT2–ROBO therapeutic axis.

My next questions: how molecular recognition becomes selective biological modulation, what functionalization changes in a ligand, and when bioorthogonal chemistry, aptamers, RNA interference or targeted protein degradation offer useful ways to intervene. These are possibilities for further research, not techniques I claim to have mastered.

Chemistry record ↗ · Docking and modelling evidence ↗ · Publications ↗

02 / MATERIAL BEHAVIOR

What changes between preparation and exposure?

My foundation: cold-plasma-treated PLA, electrospun materials, polymeric micelles, and inhalable dexamethasone niosomes/proniosomes investigated in my ongoing MSc thesis.

My next questions: how interfaces and processing alter surface chemistry, colloidal stability, transport, drug release and exposure. Microfluidic preparation, engineered barriers or cellular uptake assays may help answer particular questions, but a substantial polymer or formulation project can stand on its own.

Materials evidence ↗ · Thesis investigation ↗

03 / BIOLOGICAL RESPONSE

How do we know what changed in living systems?

My foundation: flow-chamber pulmonary epithelial injury and pharmacological pretreatment, experimental zebrafish studies, high-speed cardiac imaging/protocol development, and fetal-echocardiography machine learning.

My next questions: how biological state, target engagement and measured exposure relate to cellular function; when disease-relevant signalling or engineered tissue models improve inference; and how quantitative imaging and mechanistic pharmacology can separate an observed effect from its explanation.

Epithelial experiments ↗ · Imaging methods ↗

The experimental reason these questions belong together: A chemical sensor needs evidence of selectivity, not merely a changed optical signal. Plasma-treated PLA needs separate evidence of surface modification and functional performance. An epithelial live/dead assay can quantify injury without establishing a unique protective molecular mechanism. In my ongoing vesicle work, particle stability and aerosol performance address different questions. These studies involve different methods and systems, but all ask whether a measurement supports the conclusion attached to it.

My strongest longer-term interest sits at the interface of these questions, especially in molecular pharmaceutics and chemical biology. But no doctoral laboratory needs to work on all three. Molecular synthesis, polymer-interface physics, biological signalling or quantitative measurement may each be a valid central research problem. The record below distinguishes experimental contributions from future ambitions.

Explore the wider record of methods and research areas

A fuller map of related disciplines, projects and techniques, not six separate declarations of doctoral specialization.

CHEMISTRY / MOLECULAR DESIGN

Chemistry that explains what molecules do.

Experience: imine-based chemical sensing, optical probes, research on polymeric systems and a grant-supported heterocyclic anticancer project.

Directions: organic and medicinal chemistry, bioconjugation, analytical chemistry, click chemistry, structure–activity relationships, chemical probes and targeted degradation when chemically and biologically justified.

Chemical research record ↗
PHARMACEUTICS / DELIVERY

From formulation to useful exposure.

Experience: dexamethasone niosome/proniosome research, preformulation, characterization and nebulization questions.

Directions: conventional and advanced dosage forms, lipid/polymer nanocarriers, formulation stability, biopharmaceutics, transport, RNA or small-molecule delivery, pharmacokinetics and scalable process design.

Current research ↗
BIOMATERIALS / SOFT MATTER

Interfaces that change biological performance.

Experience: plasma-treated PLA surfaces, electrospinning, material characterization and investigations of polymer assemblies.

Directions: polymer chemistry, functional coatings, surfaces and colloids, biomedical scaffolds, responsive matrices, tissue interfaces and materials characterization. These problems need not involve drug delivery at all.

Materials case study ↗
CELLULAR BIOLOGY / PHARMACOLOGY

What makes a cell respond?

Experience: flow-chamber pulmonary epithelial injury, pharmacological pretreatment, cell viability measurements and zebrafish vascular-development experiments.

Directions: cellular signalling, physiological injury and repair, pharmacodynamics, target validation, inflammatory and vascular biology, oncology, toxicology and disease-model experiments.

Cell-mechanics study ↗
BIOENGINEERING / MEASUREMENT

Build better ways to observe living systems.

Experience: high-speed zebrafish camera implementation, protocol writing, flow-based cellular experiments and quantitative imaging.

Directions: microfluidics, organs-on-chips, tissue engineering, imaging instrumentation, physiological measurement, engineered barriers and experimental platform development.

Instrumentation dossier ↗
COMPUTATION / QUANTITATIVE SCIENCE

Make experimental predictions answerable.

Experience: equal-first-author fetal-echocardiography machine learning and research software for formulation and physicochemical modelling.

Directions: biomedical image analysis, predictive modelling, quantitative PK/PD, molecular-property analysis, data-driven experiments and computational–experimental collaboration.

Computational research ↗

These are legitimate alternative scientific directions, not a requirement that one laboratory cover all six. I would consider research programmes in chemistry, molecular science, pharmaceutical sciences, bioengineering or biomedical science, including fundamental work with no immediate clinical endpoint. The disease area, modality and methods should emerge from the laboratory's question and available expertise. NIH: interdisciplinary biomedical engineering ↗

Three experiments behind the questions.

The following examples show the difference between a result reported by a research team and the part I personally contributed. Original papers and detailed methods remain one click away.

01 / PULMONARY CELL INJURY · FIRST AUTHOR

Can altering cell mechanics reduce airway-reopening injury?

Method. Rat L2 epithelial cells were exposed to a propagating air bubble in a parallel-plate chamber. Live/dead fluorescence, actin imaging and atomic-force microscopy provided complementary readouts.

Published finding. Cell death following bubble flow was 54.7 ± 3.94%, compared with 15.1 ± 3.43% after dexamethasone pretreatment. These are study-level measurements under defined in vitro conditions.

My contribution. The journal formally credits my experiments, data analysis, interpretation, figure preparation and original manuscript draft. H. C. Yalcin is credited with conceiving and designing the research.

Boundary. Reduced injury in a rat cell-line model does not establish patient-level treatment efficacy or a uniquely proven protective pathway.

Original paper · Figure 3 ↗ · Experimental dossier ↗

02 / POLYMER SURFACE CHEMISTRY · COLLABORATIVE STUDY

Does surface grafting change PLA film adhesion?

Method. Plasma-assisted ascorbic- or fumaric-acid grafting of PLA films was assessed using surface-chemistry, microscopy, wetting and peel-resistance measurements.

Published finding. PLA/aluminium laminate peel resistance increased by 74% after ascorbic-acid modification and 184% after fumaric-acid modification relative to untreated PLA.

My contribution. The published CRediT statement explicitly lists me for investigation and formal analysis. Its formal manuscript-drafting credits list other authors; my recollection of further manuscript involvement is identified separately in the full record.

Boundary. Adhesion measurements on film laminates do not demonstrate antimicrobial efficacy or clinical performance in scaffolds.

Original paper · Peel results ↗ · Materials dossier ↗

03 / CARDIAC IMAGING METHODS · COLLABORATIVE STUDY

How can embryonic cardiac dynamics become measurable?

Method. The published workflow used high-speed recordings of the beating zebrafish heart and vessel flow through a stereomicroscope, with quantitative analysis using imaging software.

Published finding. The authors demonstrated measurements of cardiac function and blood-flow dynamics in early zebrafish embryos using short high-speed recordings.

My contribution. I implemented the high-speed camera/acquisition setup and wrote the laboratory imaging protocol, alongside experimental work. These details are from my firsthand account; the article reports the collective findings rather than formally assigning all instrumentation/protocol duties to me.

Boundary. These zebrafish physiological measurements are developmental-model results, not measurements of human clinical cardiac function.

Original methods paper ↗ · Acquisition dossier ↗

A separate equal-contribution fetal echocardiography machine-learning paper ↗ illustrates another part of my quantitative research, while the complete contribution record retains the distinctions across my other publications. Source figures and publisher pages are linked directly; they are not reproduced here without a figure-specific provenance and reuse check.

Additional publication contributions.

Detailed roles from further publications, including computational work, experimental-only contributions and grant-linked research, remain available below.

Read the complete publication contribution record

My strongest experimental foundation is at the interface between materials, biological systems and therapeutics. Detailed case studies document the chamber controls, high-speed camera/protocol implementation, and film-versus-scaffold surface experiments. My responsibilities differed across projects. I performed experiments in collaborative vascular work; in first-author pulmonary research, my contribution also included analysis, figures and manuscript writing. The study descriptions below identify those roles separately.

First author · Original research · 2021Mechanical injury to pulmonary epithelial cells and pharmacological protection.

Journal of Applied Physiology. Experimentally investigated epithelial injury associated with mechanical ventilation and pharmacological protection. In this first-author study, my contribution spanned cell and flow-chamber experimentation, analysis and interpretation, figures and manuscript writing with collaborators, including Dr. Anton Popelka.

Read the original study ↗ · Experimental dossier ↗
Collaborative original research · 2021Engineering polymer surface chemistry.

Polymers. Cold-plasma-assisted modification of poly(lactic acid), connecting treatment to measurable surface properties. Working with Dr. Anton Popelka and collaborators, I contributed to investigation and formal analysis, as confirmed by the published 2021 CRediT statement. My recollection also includes manuscript contribution, but the journal credits original drafting and editorial work to other coauthors.

Read the original study ↗ · Materials case study ↗ · Methods ↗
Equal first contribution · Computational research · 2023Deep learning for fetal echocardiography.

IEEE Access. Equal-first-author contribution across the machine-learning workflow, from fetal ultrasound-data preparation through model development, training and evaluation, analytical interpretation, preparation of figures and manuscript writing.

Read the original study ↗ · Computational portfolio ↗
Collaborative original research · 2018Endothelial cilia during zebrafish cerebral-vascular development.

Arteriosclerosis, Thrombosis, and Vascular Biology. My role was experimental only, without data analysis, interpretation or manuscript writing. The vascular-development findings belong to a collaborative study.

Read the original study ↗

The curcumin/cyanide sensing study was also experimental-only for me: I did not analyze or interpret its data or write its manuscript. My high-speed zebrafish methods work included implementing the camera/acquisition system and writing its imaging protocol. See the methods dossier ↗ In the clinical ACE2/COVID-19 project I report helping secure the research grant, participating in research and analysis, interpreting results and contributing to writing. The published paper acknowledges QNRF award RRC-2-076 but does not attribute the funding-acquisition role to individual coauthors. In the soluble-ACE2 review, I proposed its conceptual interpretation and drafted the relevant sections. My first-listed book chapters involved leading the literature research and manuscript development; the Wiley heart-failure sensors chapter formally lists me second, despite my substantial writing involvement. See the complete selected bibliography with contribution statements ↗

What I am working on now.

My MSc research at Qatar University concerns dexamethasone-loaded niosomes and proniosomes intended for pulmonary delivery. The investigation involves formulation design, physicochemical characterization, nebulization and aerosol-performance questions. A stable carrier in a vial is not necessarily a useful carrier after administration; aerosol behavior, tissue exposure and biological activity must be established separately.

This project is ongoing. I do not present proposed or incomplete outcomes as demonstrated efficacy. My academic history also includes imine chemical sensing, polymeric and electrospun materials, cell-based mechanobiology, imaging and quantitative scientific workflows.

Research investigations ↗ · Figures and evidence ↗ · Experimental methods ↗

Where I want the research to go.

My longer-term aim is to understand and improve the relationship between therapeutic design, exposure at a disease-relevant site and cellular response. I would develop that question within one laboratory's strengths, whether the decisive experiment concerns a ligand, a delivery barrier, a signalling pathway or a tissue model. The approaches below are different possible investigations, not consecutive requirements for a single doctorate.

Experiment-led research beyond AI. I am interested in rigorous laboratory questions in synthetic and medicinal chemistry, chemical biology, experimental pharmacology, pharmaceutics, biomaterials and cell-based disease models. My computational work is one part of that record, not a prerequisite for a future project. A carefully controlled synthesis, a pharmacological mechanism or an experimentally useful material can be the whole research question.

Antibody–drug conjugates (ADCs) and targeted bioconjugates. I want to study how antigen selection and internalisation interact with conjugation chemistry, linker stability and cleavage, payload properties, intracellular trafficking, pharmacokinetics and resistance in heterogeneous tumours. My published ADC analysis ↗ is part of my scientific writing; experimental ADC design and evaluation remain a prospective research interest, not a claim of completed bench work.

PROSPECTIVE RESEARCH / INTEGRATED DRUG DISCOVERY

From a cellular target to a molecule that can be made and tested.

I am interested in research programmes that connect target identification to chemical and biological production rather than treating computational discovery and synthesis as unrelated exercises. A possible starting point would be to define a disease-relevant cell state, prioritize candidate proteins or pathways using perturbation and expression data, then test whether changing that target alters the phenotype. This causal step must precede a confident claim of target validation.

For a selected target, I would compare known ligands, endogenous metabolites, natural-product scaffolds and chemically accessible analogues. Structure-based virtual screening, docking and molecular dynamics could narrow the field, while measured binding, target engagement, selectivity and phenotypic assays would determine which predictions survive experimental testing. Promising chemical structures could then be traced backwards through synthetic intermediates or biological precursors, with enzyme databases, metabolic-network reconstruction and strain or cell-host selection used to evaluate biosynthetic and chemoenzymatic opportunities.

The manufacturing question interests me as much as the molecular one: computer-assisted retrosynthesis, reaction-condition prediction, batch and continuous-flow synthesis, immobilized biocatalysts and in-line analytical monitoring could provide different routes to the same candidate. Automated high-throughput screening would test reproducible concentration–response, orthogonal mechanisms and counter-screens; design of experiments and active-learning or Bayesian optimization could then balance potency, selectivity, yield, stability, waste and throughput. The exact workflow would depend on the target and the capabilities of the host laboratory, not on a requirement to use every technology.

Explore four experimental approaches and renal-therapeutics examples

Worked research questions, relevant controls, proposed readouts and referenced studies. These are future directions, not completed experiments or a fixed PhD project.

01 / DISCOVERY

Find the state that matters.

Before choosing a drug, determine which molecular interaction or cell state actually drives the phenotype. Protein location, conformation and timing can matter as much as target abundance. Chemical probes, genetic perturbation and functional rescue would test that dependence.

Decisive experiment: does altering the target change the disease-relevant response, rather than binding to it alone?

Example in chemical biology ↗

02 / DELIVERY & MATERIALS

Discover where function is lost.

For a drug or RNA cargo, I would distinguish formulation stability, administered dose, tissue access, cellular uptake and productive intracellular activity. The same logic applies to a surface-modified biomaterial, where chemical treatment must be linked to a measurable function.

Decisive experiment: which step limits effective, tolerable exposure when tested against a matched control?

My current formulation questions ↗

03 / HUMAN BIOLOGY

Measure the transition, not only the endpoint.

Longitudinal cell models, organoids and microphysiological systems could help distinguish early injury, repair and progression. In these systems, controlled forces, transport and cell–cell interactions are hypotheses to examine, not guarantees of clinical relevance.

Decisive experiment: does the model resolve a causal biological transition that a simpler experiment misses?

Pulmonary experimental foundation ↗

04 / PREDICTIVE SCIENCE

Make a model risk being wrong.

Computational and mechanistic models can connect molecular properties, material processing, delivery and response. Their value becomes clearer when they specify a prospective prediction, its uncertainty and a simpler baseline before new measurements arrive.

Decisive experiment: can the model predict an unseen result and identify what should be measured next?

Computational research ↗

ADDITIONAL RESEARCH INTEREST / RENAL THERAPEUTICS & DELIVERY

The kidney is not one therapeutic destination.

A glomerular podocyte, an injured proximal-tubule cell and the epithelium lining a renal cyst are different targets, with different access routes and pharmacology. I want to investigate kidney disease therapeutics and the molecular engineering needed to deliver treatment to the relevant renal compartment. The central challenge is to distinguish accumulation in a kidney from entry into the intended cells and, finally, from functional delivery that changes the intended biological response. Glomerular filtration, luminal reabsorption, basolateral access, transporters and disease-related changes in tissue permeability must shape the design, not be treated as afterthoughts.

01 / AKI AND CKD

Can injured tubules be treated without exposing the whole kidney?

In acute kidney injury and progression towards chronic fibrosis, I am interested in injury-conditioned targeting of tubular epithelium. KIM-1/HAVCR1 can serve as an uptake-associated marker in damaged tubules; megalin/cubilin and tubular transporters create different access routes whose activity may change during injury. A 2025 study showed KIM-1-associated delivery of biomimetic HDL nanoparticles carrying triptolide and nintedanib in mouse models of fibrosis. The result supports a targeting hypothesis, not proven human efficacy.

First test: compare free drug, carrier alone, untargeted cargo and targeted cargo, then measure cell-resolved uptake, pharmacodynamic activity, injury and off-organ toxicity. Demonstrate the mechanism of uptake separately from a reduction in fibrosis markers.

He et al., Nature Communications (2025) ↗

02 / GENETIC RENAL DISEASE

Can a therapy reach the cells lining a kidney cyst?

Autosomal dominant polycystic kidney disease, especially PKD1/PKD2-associated biology, offers a clear distinction between molecular correction and control of cyst-promoting pathways. A July 2026 preprint, not yet peer-reviewed, reported peptide-functionalized micelles delivering siRNAs against TMEM16A and MCP-1 to collecting duct epithelial cells. Separately, a peer-reviewed mouse study demonstrated AAV-mediated base editing of a disease-associated PKD1 variant. Neither is an approved renal gene therapy.

First test: validate collecting-duct specificity and productive knockdown or restored protein function in matched healthy and cystic renal models; compare cyst growth, inflammatory signals, cargo integrity and systemic distribution.

Giblin et al., bioRxiv preprint (July 2026) ↗ · ADPKD base-editing study, Nature Communications (2025) ↗

03 / GLOMERULAR AND IMMUNE DISEASE

When is renal delivery the right intervention?

IgA nephropathy, complement-mediated glomerular disease and podocyte injury connect immunopharmacology with tissue-selective exposure. A target may reside in the circulating immune system rather than in renal parenchyma: APRIL-directed antibodies and complement factor-B inhibition illustrate why a renal nanocarrier is not automatically preferable. By contrast, a locally acting podocyte or glomerular therapy requires testing its access through the glomerular endothelium and basement membrane.

First test: establish where the causal target acts, then compare systemic pathway modulation with a locally directed intervention using target engagement, proteinuria-relevant functional endpoints and renal safety.

FDA: APRIL-directed therapy in IgA nephropathy (2025) ↗ · Huang et al., renal nanomedicine physiology (2024) ↗

04 / HUMAN RENAL MODELS

Which exposure measurements predict renal function?

Human proximal-tubule-on-chip systems derived from kidney organoids can model polarized transport, including OAT1/3 and OCT2, more faithfully than some conventional immortalized-cell systems. For a renal carrier, I would pair physicochemical characterization with transporter function, directional epithelial transport, intracellular cargo activity and nephrotoxicity. Computational clearance or PBPK models would earn their place through prospective agreement with experimental measurements.

First test: benchmark a transporter-competent chip against a simpler culture using reference substrates and inhibitors, then prospectively compare cellular delivery, barrier integrity and kidney-injury responses.

Ma et al., proximal tubule-on-chip study (2024) ↗

Research approach. I would begin with one specified renal disease and cell population rather than a universal kidney-targeting nanoparticle. Appropriate modalities might include a small molecule, siRNA, a conjugate, an engineered lipid or polymer carrier, or eventually mRNA/circular RNA if the intended biology requires protein production. For RNA-based systems, fluorescence in renal tissue would be a distribution observation; intracellular RNA integrity, target silencing or protein expression, dose-response and renal functional outcomes would determine whether delivery actually worked.

I am particularly interested in molecular pharmaceutics and chemical biology, but an excellent project in synthesis, polymer science, experimental physiology, instrumentation or computational modelling could address just one of these questions. The target, experimental system and methods should be chosen with the laboratory, not declared in advance.

Read the extended research agenda: proposed experiments, emerging approaches and model validation

FOUR PROBLEMS / TESTABLE BEGINNINGS

Where I would put the first experiments.

Each proposal begins with a problem that can be tested. The target, model and methods would be refined with the research group, whether the outcome is a clearer mechanism, a new material, a measurement technique or a therapeutic approach.

01 STATE-DEPENDENT TARGETS

Can the vulnerable state be identified before choosing the drug?

Take a signalling interaction involved in pathological repair or tumour invasion. Instead of ranking targets only by abundance, characterize when the relevant protein complex forms, where it resides and what changes after injury or treatment. Compare orthogonal binding measurements with genetic perturbation and functional rescue. A compound that binds convincingly but fails to alter a disease-associated state is not an encouraging hit merely because its affinity is strong. Small-molecule discovery targeting the SLIT2–ROBO axis illustrates how to connect a molecular screening programme to questions of biological function.

First possible test: time-resolved cell states, target engagement, genetic perturbation and rescue. Decisive question: does the target causally control the selected transition?

02 PRODUCTIVE EXPOSURE

Where, exactly, does a promising therapeutic disappear?

In pulmonary RNA therapy a formulation must survive aerosol generation, deposit in the relevant region, interact with lung lining fluid, enter the intended cell and release functional cargo. I would compare delivery systems across those separate barriers in healthy and injury-conditioned models, rather than rank them by size or fluorescent uptake alone. Functional knockdown, intracellular release, barrier recovery and inflammation should be measured alongside delivered dose. Experimental work showing that endosomal escape can provoke inflammatory damage makes the design problem sharper: greater entry need not produce a safer or more effective medicine.

First possible test: matched RNA cargo and administered dose across formulations, measuring aerosol mass balance, cellular delivery, knockdown and tissue function. Decisive question: which barrier limits productive and tolerable exposure?

03 SPATIAL RESPONSE

Why does recognition fail to become treatment?

Antibody–drug conjugates, aptamer conjugates and engineered T cells make recognition central to therapeutic design, but recognition is only the beginning. In an ADC, antigen heterogeneity, internalization, linker cleavage, payload release and bystander toxicity matter. In aptamer-directed carriers the questions include nuclease stability, receptor-dependent uptake and intracellular escape; aptamer-guided oligonucleotide delivery to muscle stem cells is a useful research example. CAR-T and other engineered immune cells confront trafficking, persistence and suppressive microenvironments; tumour-on-chip research on CAR-T action illustrates a possible experimental route. These modalities share questions about access and spatial response, not interchangeable measures of success.

First possible test: one modality and one co-culture or tissue chip, with mapped recognition sites and time-resolved functional response. Decisive question: does failure arise from recognition, access, release or tissue resistance?

04 PROSPECTIVE PREDICTION

Can a model predict the next experiment before seeing it?

I would first model a tractable sequence: formulation characteristics, delivered dose, tissue transport, intracellular disposition and measured pharmacological response. Mechanistic transport, PBPK, QSP or statistical models could each be used where their parameters are identifiable. I would specify predictions before collecting a held-out dataset and assess calibration and systematic error afterward. The model should be able to recommend an informative experiment, and it should also be allowed to fail.

First possible test: a modular inhalation-to-cell-response model linked to aerosol and epithelial-barrier experiments. Decisive question: does it predict unseen results better than a simpler baseline, and where does its uncertainty become unacceptable?

FRONTIERS / A LONGER HORIZON

The field is changing at its boundaries.

I am interested in induced-proximity pharmacology, including targeted degradation and compounds that recruit proteins into functional complexes. Here, measuring binary affinity may be insufficient: ternary-complex geometry, cooperativity and the downstream cellular event become critical. The emerging induced-proximity therapeutic landscape broadens possible targets while making selectivity, cellular access and target-specific functional evidence more important.

Programmable recognition presents another frontier. Aptamers, antibody conjugates, RNA cargoes, logic-gated cellular therapies and responsive materials can make an intervention conditional on its environment. Each architecture creates failure modes of its own, including unstable conjugates, intracellular trapping, antigen escape and on-target injury in normal tissue. In solid tumours, the microenvironment can obstruct engineered immune-cell trafficking and persistence; engineering the therapeutic cell therefore raises questions about the experimental environment used to test it.

I would like to follow the earliest measurable stages of epithelial injury and abnormal repair in longitudinal human-derived models. The experimental design would require controlled mechanical exposure, repeated functional measurements and perturbations capable of distinguishing a reversible response from progressive damage. A human inflammatory-bowel-disease-on-chip investigation demonstrates how disease progression and cancer initiation can be approached experimentally. A measured transition still has to be shown to be causal, not merely correlated with disease.

Finally, the connections between tissue engineering and pharmacometrics are becoming more interesting. Multi-organ tissue-chip research highlights the challenge of preserving the biological niche of each tissue while permitting controlled exchange between them. These systems are not substitutes for human physiology by declaration. Their future value depends on quantitatively linking their readouts to drug transport, model assumptions and independent reference evidence.

A LONG-TERM LABORATORY IDEA

Make the evidence travel with the medicine.

My ideal scientific environment would allow a therapeutic candidate to be interrogated at successive scales without pretending that one researcher should master every instrument. A medicinal-chemistry or chemical-biology question would inform the molecule, conjugate or cell. Formulation and transport experiments would show whether it reaches the intended site in active form. A tissue-engineering experiment would measure what happens in a defined human disease state. Quantitative pharmacology would then ask how far the result can reasonably be extrapolated.

One plausible beginning is pulmonary disease, where my experience with epithelial injury and inhalable formulations provides a concrete entry point. The methods can expand through controlled-release science, cancer chemical biology, engineered immune therapeutics and patient-relevant pharmacometrics. The ambition is portable, but the first biological model must be specific. Over time, I would like to develop open, versioned datasets, reproducible protocols, qualified tissue models and modular mechanistic software. The most important output would be a better decision about which therapeutic hypothesis deserves the next experiment.

Conversations and scientific work that attracted me to different researchers point toward aerosol physics, intracellular RNA delivery, ocular controlled-release systems, molecular recognition, cellular engineering and human variability in drug exposure. They are not the same specialism. I want to learn their distinct reasoning and create experiments in which one discipline can genuinely test another's assumptions.

SELECTED LITERATURE / SCIENTIFIC CONTEXT

Evidence informing the horizon.

EVIDENCE AND LIMITS / 05

What would make the model useful?

Before using an organoid or computational model to rank candidate therapies, I would define its context of use and compare its performance against an appropriate reference. Maturity of the biological model, reproducibility across preparations and prospective predictive accuracy would determine whether additional complexity is useful.

Work on human tissue chips and new approach methodologies provides a serious basis for reducing animal experimentation in suitable applications, but replacement cannot be asserted universally. My ambition is to develop and evaluate models that are informative for the biological decision at hand, and to change the model when the evidence requires it.

The cited FDA document is draft, non-binding guidance. These institutional sources establish the field's direction; individual models still require validation for their intended use.

Molecular therapeutics: questions that interest me.

These examples test the same larger problem from different angles: can an intervention engage the intended biological system, reach a sufficient effective concentration and change its function? They are areas I am reading and may pursue, not a collection of techniques I expect one laboratory to provide. Strong fundamental research in chemistry, mechanism, materials or instrumentation remains valuable in its own right.

Read four deeper research questions and supporting literature
MOLECULAR RECOGNITION / IMMUNOPHARMACOLOGY

Changing how cells communicate.

Drugs that interfere with protein–protein interactions can change how receptors communicate, but binding alone says little about pathway function. In the work of Moustafa T. Gabr and collaborators, CD28 antagonists inhibit T-cell costimulation, while TREM2 agonists are evaluated through downstream microglial signalling. His group has also identified ROBO2-binding chemical starting points, a direct scientific connection to my own SLIT2–ROBO patent-review interests.

My question: can chemical probes distinguish receptor occupancy from antagonism, agonism and a meaningful cell-state change? I'd connect biophysical assays, cellular engagement, downstream signalling and a phenotype, not just docking scores.

A pharmacological lesson from a different organ: Rasha Alshaikh's work with Katie Ryan and Christian Waeber on siponimod links S1P-receptor biology to endothelial migration, vascular barrier function, in vivo angiogenesis, ocular pharmacokinetics and sustained PLGA delivery. The disease context is retinal, not pulmonary; what transfers is the disciplined chain from receptor action through tissue exposure to functional endpoints. S1P pharmacology ↗ · controlled PLGA release ↗.

EPIGENETICS / QUANTITATIVE PHARMACOLOGY

What did the drug change inside the cell?

Ted Lakowski's pharmaceutical analysis research at the University of Manitoba is a model of an approach I admire: pairing epigenetic enzyme pharmacology with LC–MS/MS measurements of histone and DNA modifications, drugs and metabolites. HDAC and DOT1L inhibition can alter chromatin chemistry, but a transcriptomic shift should not automatically be read as specific target engagement.

My question: can exposure, enzyme activity, histone-mark changes, downstream gene expression and a cellular phenotype be measured as one causal chain? This would require developing analytical and pharmacological expertise, not simply running an RNA-seq experiment.

PROGRAMMABLE RNA / THERAPEUTIC FUNCTION

Silence a harmful signal, or restore a useful one?

siRNA recruits RNA interference to reduce a transcript; protein-coding circular RNA instead offers a route to sustained expression, provided its translation elements, circularity, purity and delivery work. These are not interchangeable medicines. I am particularly interested in engineering circular-RNA cargo and ionizable lipid carriers while using siRNA as a mechanistically different, hypothesis-dependent comparator, not simply copying an existing pulmonary-siRNA project.

My question: when is gene suppression preferable to functional replacement? In pulmonary vascular biology, BMPR2–SMAD1/5/9–ID1 signalling offers a concrete restorative example: BMPR2 linear mRNA delivery improved experimental rat PAH outcomes; a circular-RNA alternative remains a proposed extension and must be tested separately.

A pulmonary RNA question worth separating: work associated with Katie B. Ryan at UCC tests what happens to siRNA lipoplexes and LNPs during vibrating-mesh nebulisation, from aerosol formation through retained functional silencing. That problem is directly relevant to my experience with inhalable niosomes, but siRNA knockdown and circular-RNA protein expression require different measures of therapeutic success. Neary et al., Eur. J. Pharm. Sci. (2026) ↗ (published corrigendum ↗).

CHEMICAL ENGINEERING / MODELS / PK–PD

A dose delivered is not a dose that acts.

Microfluidics interests me in two distinct ways: as controlled-mixing technology for reproducible lipid or polymeric carriers, and as a way to create perfused tissue environments where flow, barrier integrity and disease state alter exposure. This connects directly to my work on mechanically injured lung epithelium, and to my current dexamethasone niosome/proniosome thesis. It also opens up systems beyond the lung, including tumour, immune and vascular tissues.

My question: which barrier prevents productive action: carrier destabilization, extracellular transport, cellular uptake, endosomal escape, intracellular pharmacology or tissue-level compensation? An organ-on-chip is useful only if its predicted response can be validated against simpler models and appropriate controls.

Recognition must be measurable: Jing Yong Ye's UTSA group has reported modified-aptamer functionalization of photonic-crystal biosensors, and co-developed a liver-on-chip platform for label-free monitoring of drug-induced toxicity. For me, the transferable engineering questions are binding specificity, aptamer conformation and stability, signal calibration, and how an affinity readout differs from productive drug delivery. Modified aptamers for biosensing (SPIE proceedings) ↗ · Liver-on-chip study ↗.

One more chemical thread: I want to develop the skills to construct bioorthogonal conjugates, clickable ligands and bifunctional degraders. PROTACs and molecular glues are interesting when the target biology demands protein removal rather than occupancy, but solubility, intracellular exposure, target resynthesis and off-target degradation must be measured. Click chemistry is a synthetic method, not a pharmacological mechanism. Read the chemical-biology review ↗.

Biological systems that invite better experiments.

These examples come from publications I have read and scientific questions I would like to investigate. I have not experimentally manipulated all these pathways. They are not prerequisites for joining a laboratory: I would welcome equally rigorous work on other receptors, enzymes, biological pathways and disease models.

Explore seven potential signalling pathways and the primary studies
SLIT2–ROBO1/2

Axon-guidance receptors with context-dependent roles in tumour invasion, angiogenesis and immune organization. My patent-review work provides a literature foundation; the 2026 ROBO2 binder study establishes binding leads, not clinical inhibitors.

ROBO2 chemical probes ↗
CD28–CD80/CD86

T-cell costimulation and immune activation. An antagonist must be tested for reduced downstream T-cell function and selectivity, not just disruption of a purified receptor interaction.

CD28 small molecules ↗
TREM2–TYROBP/DAP12–SYK

Microglial and macrophage signalling, with potential relevance to inflammatory phenotypes. The desired therapeutic direction can be agonism rather than inhibition, depending on cell type and disease.

Validated TREM2 agonists ↗
HDAC / DOT1L → histone marks

Chromatin-state pharmacology with quantifiable enzymatic and epigenetic readouts. A measured change in histone acetylation or methylation does not alone establish selective correction of a disease programme.

Epigenetic analysis research ↗
S1P receptors → endothelial barrier and angiogenesis

S1PR1/5-targeting siponimod illustrates a pharmacological strategy investigated in retinal endothelial cells and controlled-release ocular formulations. My interest is in linking receptor modulation to barrier function, migration, pharmacokinetics and a tissue-level endpoint. S1PR3-directed RNA silencing is a distinct, untested research possibility, not a demonstrated siponimod mechanism.

Alshaikh et al., experimental pharmacology ↗
BMPR2 → SMAD1/5/9 → ID1

Pulmonary vascular homeostasis and a testable example of therapeutic protein restoration. Existing rat-model mRNA results are an external precedent; circRNA restoration would be a separate experimental hypothesis.

BMPR2 mRNA precedent ↗
TGF-β–SMAD2/3 and epithelial repair

Remodelling, injury response and fibrosis are related but not equivalent. I am interested in how mechanical injury, barrier state and signalling feedback modify a candidate treatment's effect in tissue models.

My mechanobiology starting point ↗

For any particular project, choosing an experimentally tractable pathway matters. It does not mean that the pathways shown here define the only laboratories, therapeutic modalities or disease areas I would consider.

How questions become testable experiments.

The next two concepts are worked examples of designing a hypothesis and testing it. They demonstrate how I think, not the only projects I would accept. In a chemistry, biomaterials, biology, pharmaceutics, computational or engineering laboratory, I would develop a project around the laboratory’s expertise and a question that can be answered with available methods. PROTAC synthesis, circular-RNA engineering and organ-on-chip construction remain future training goals, not skills I already claim to possess.

Target engagement through chemical design.

Choose one disease-relevant protein state and test whether a carefully designed intervention changes its function. I want to learn and use bioorthogonal click chemistry and bioconjugation, bifunctional degraders such as PROTACs, molecular glues and aptamer-based recognition where the biology justifies each tool. Pair molecular characterization with target engagement, degradation or functional rescue, rather than relying on binding alone.

Testable chemical-biology concept ↗ · Broader research agenda ↑

Delivery as a pharmacological experiment.

Choose a justified therapeutic cargo, distinguishing siRNA-mediated silencing from protein-producing circular RNA, alongside aptamer conjugates or targeted small molecules, and determine where productive exposure is lost. Develop lipid/polymeric or other appropriate carriers, investigate microfluidic formulation and transport, and measure intracellular fate and functional dose response in relevant cellular models. Connect formulation engineering to PK/PD and mechanistic predictions.

Testable circular-RNA delivery concept ↗ · Delivery and transport questions ↑

A microfluidic organ-on-chip or organoid model could then test a specific tissue barrier or disease state, but its predictive validity must be measured, not presumed. I want to connect molecular chemistry, engineering and quantitative pharmacology through experiments that could ultimately support translation from bench to bedside.

Ideas I learn from across fields.

These selected publications illustrate scientific approaches I admire, not a list of laboratories I will apply to, required future supervisors or research programmes I insist on copying. I read across disciplines because their methods illuminate the problems in my own experimental work.

Read the studies that inform these interests

Moustafa T. Gabr connects medicinal chemistry, target discovery and functional validation in difficult receptor systems, including CD28, TREM2 and the SLIT–ROBO family. The ROBO2 connection is particularly close to my prior SLIT2/ROBO literature work, while the translational imaging dimension suggests a wider future direction. Columbia research profile ↗.

Ted Lakowski brings pharmacology back to measurement: epigenetic enzyme activity, histone and DNA marks, drug/metabolite analysis and the distinction between mechanistic evidence and a broad genomic response. University of Manitoba profile ↗.

Katie B. Ryan (University College Cork) works across formulation science and RNA delivery, including the experimentally difficult transition from a nebulised siRNA formulation to cytosolic activity. The 2024 aerosol-to-cytosol review and 2026 vibrating-mesh nebulisation study are especially close to the questions I now face with inhalable niosomes: what is the delivered dose, what survives processing, and what constitutes a functional intracellular response? RNA aerosol barriers ↗ · siRNA nanocarrier nebulisation ↗.

Rasha A. Alshaikh (University College Cork) approaches therapeutic performance through pharmacology and controlled release rather than RNA aerosolisation: her published work investigates siponimod modulation of S1P signalling, retinal endothelial cell behaviour, rabbit ocular pharmacokinetics and sustained release from electrospun PLGA. The conceptual connection to my research is how a molecular mechanism, controlled exposure and tissue physiology constrain one another. It is not a claim that retinal neovascularization results establish a pulmonary RNA target. Mechanism and angiogenesis ↗ · Ocular PK and toxicity ↗ · Controlled delivery ↗.

Jing Yong Ye (University of Texas at San Antonio) is a distinct bridge between my optical chemical-sensing and cardiovascular-imaging background and future aptamer research. His group has investigated aptamer-functionalized photonic-crystal biosensors for cardiac biomarkers, activatable photoacoustic sensing, targeted nanocarriers and organ-on-chip label-free readouts. An aptamer can be a recognition element for a sensor without yet being a therapeutically useful targeting ligand. I am interested in learning how structural modelling, affinity and specificity measurements, nuclease and serum stability, and functional validation change the choice of aptamer or conjugate. Ye laboratory research ↗ · Aptamer photonic-crystal biosensor ↗ · Integrated liver-on-chip biosensing ↗.

Robert Chen and colleagues provide a rigorous example of optimizing protein-producing circular RNA by dissecting IRES, translation-initiation and RNA-structure determinants rather than simply assuming circularity is a therapeutic advantage. Nature Biotechnology study ↗.

What attracts me across those programmes is the same discipline: design one intervention, establish what it does molecularly, and test whether that change persists at the level of biological function.

A researcher in development, not a fixed specialty.

What I bring now: documented experimental chemistry and materials research, cell-based physiological experiments, microscopy and imaging-system implementation, formulation development, quantitative interpretation, scientific writing and collaborative computational research. Each project has its own author-contribution boundaries; the record and source papers document those differences.

Where I could grow: through sustained work on a clearly defined question connecting therapeutic design to exposure or cellular function. Depending on the host laboratory, that may involve medicinal chemistry, chemical biology, pharmacology, drug formulation and PK/PD, polymer and biomaterial engineering, or advanced cell and tissue models. Aptamers, siRNA, circular RNA, PROTACs and targeted conjugates are possible modalities, not fixed requirements. I do not expect one PhD to teach or deploy all of these technologies.

I value careful experimental reasoning regardless of whether the immediate output is a new molecule, an instrument, a biomaterial, a biological mechanism, a dosage form or a therapeutic candidate. For translational projects, I am particularly interested in connecting chemical design to exposure and functional response. For fundamental projects, a strong mechanistic result is worthwhile in its own right.

Research agenda ↑ · Academic profile ↗ · Contact about research ↗