Research archive

Researching disease from the level of the cell upward.

My research sits at the intersection of biomechanics, materials science, cancer biology, and diagnostic technology.

01 / Mechanical biomarkers

Can cancer cells be distinguished through their mechanical behavior?

Approach. Single-cell mechanical characterization, viscoelastic creep analysis, cytoskeletal characterization, and quantitative/statistical analysis.

Finding. Investigated measurable differences and heterogeneity in the mechanical behavior of malignant and non-malignant cells.

Implication. A scientific framework for exploring mechanical properties as potential biomarkers for cancer detection, without claiming clinical validation.

03Selected Work

From research discovery to regulated product

A portfolio of programs and platforms spanning cancer diagnostics, radiopharmaceutical manufacturing, clinical AI, and digital health.

PhD Research

Cancer Mechanical Biomarkers

Investigated the mechanical signatures of cancer cells and tissue, using atomic force microscopy to link biomechanics to disease state as a route to earlier, physically grounded diagnosis.

Problem: Can cancer cells be distinguished through their mechanical behavior?
Approach: Single-cell mechanical characterization, viscoelastic creep analysis, cytoskeletal structure, and statistical analysis.
Outcome: Investigated measurable differences and heterogeneity in malignant and non-malignant cell behavior.

Question: Can cell mechanics reveal disease state?
Method: AFM, mechanical characterization, biomaterials
Application: Cancer detection & diagnostics
Output: Peer-reviewed publications

Demonstrates Biomedical research · quantitative thinking · diagnostic translation

Postdoctoral Research

AFM-Based Diagnostic Research

Expanded core mechanical-biomarker research into alternative diagnostic approaches, exploring how physical measurements complement conventional and AI-driven diagnostics.

Problem: How can physical measurements complement established diagnostic approaches?
Approach: Biomechanics, experimental design, AFM measurement, and quantitative interpretation.
Outcome: Built research methods and findings around alternative diagnostic modalities.

Focus: Alternative diagnostic modalities
Method: Biomechanics, quantitative analysis
Relevance: Diagnostics & clinical AI inputs
Output: Research findings & methods

Demonstrates Experimental design · measurement · research-to-technology thinking

IPS / BWXT Medical

$10M+ Radiopharmaceutical Manufacturing Program

Managed delivery of new radiopharmaceutical manufacturing capability across engineering, quality, CQV, contractors, and client stakeholders in a highly regulated environment.

Problem: How do you make critical manufacturing infrastructure ready for regulated production?
Approach: Coordinated engineering, QA, CQV, contractors, client stakeholders, schedule, risk, and technical documentation.
Outcome: Managed/coordinated $10M+ clean-utilities projects supporting a radiopharmaceutical drug manufacturing program.

Scale: $10M+ capital program
Scope: Clean utilities, CQV, validation
Teams: Engineering, QA, CQV, contractors
Role: Technical program & delivery

Demonstrates Regulated execution · cross-functional leadership · delivery discipline

Life & MedTech Consulting

AI Breast-Cancer Detection

Advised on AI-enabled breast-cancer detection — from clinical problem framing through SaMD regulatory pathway, risk management, and verification & validation considerations.

Problem: What does it take for an AI healthcare idea to become a credible medical product?
Approach: Advisory work across product, clinical, technical, and regulatory considerations, including FDA and Health Canada pathways.
Outcome: Supported partners developing AI-enabled breast-cancer detection solutions.

Problem: Earlier, more reliable detection
Pathway: SaMD — FDA & Health Canada
Discipline: Risk management, V&V
Role: Technical & regulatory advisory

Demonstrates Healthcare AI fluency · SaMD context · careful translation

Digital Health Platform

MedSecOp

Co-founded and lead a digital health platform that helps patients access specialist expertise and enables physicians to securely collaborate around diagnostic imaging.

Problem: How can patients, imaging, and specialist expertise connect in one trustworthy workflow?
Approach: Product strategy, technical architecture, DICOM workflows, patient and physician portals, and secure case collaboration.
Outcome: Built a working digital health platform for imaging-led second opinions and clinical collaboration.

Concept: Secure second-opinion imaging
Surface: Patient & physician portals
Core: DICOM viewer & case management
Role: Technical & product lead

Demonstrates Product building · medical imaging · patient-centered execution