LLM Evaluation & Causal Reasoning
A validity-audited evaluation of whether an LLM reasons correctly about causal structure across medical and business scenarios, identifying a specific, reproducible reasoning failure.
Epidemiology & Quantitative Methodology Consultant
I help health-system leaders, research institutes, and clinical teams solve complex methodological challenges. From real-world evidence and systematic reviews to advanced biostatistical modeling, I deliver rigorous, review-ready inputs to move your projects forward.
Consulting & Advisory
As an independent epidemiologist and senior quantitative methodologist, I partner with academic, clinical, and health-system organizations to solve complex analytical problems. My focus is on delivering practical, high-impact guidance tailored to your specific project goals.
Whether you need end-to-end support for a systematic review and meta-analysis, statistical oversight for clinical protocols, or quantitative modeling for health resource planning, I provide hands-on expertise with clear, transparent execution.
Portfolio
Interactive dashboards built on verified analytical pipelines — public data where available, synthetic data where source data is not publicly available.
A validity-audited evaluation of whether an LLM reasons correctly about causal structure across medical and business scenarios, identifying a specific, reproducible reasoning failure.
Randomized and cluster-randomized trial design, multilevel modelling, and interpretation of treatment effects.
Survey-based survival analyses and Bayesian workflows using NHANES population health and linked mortality data.
Random-effects meta-analyses of movement behaviour and treadmill-desk literature, translated into interactive evidence dashboards.
Activity-based costing and funding-rate models translating granular cost data into defensible provincial reimbursement rates.
Markov cohort cost-utility modelling — ICERs, probabilistic sensitivity analysis, and threshold pricing for novel therapies.
Core Capabilities
Translating complex health data into decision-ready insights—from health-system capacity planning and microcosting to funding models.
Synthesizing evidence through rigorous systematic review protocols, quantitative meta-analyses, and comprehensive evidence mapping.
Designing statistical analysis plans, survival models, and longitudinal analyses across oncology, brain health, and population health.
Hands-on statistical programming using SAS, R, Python, and SQL for transparent, reproducible, and review-ready workflows.
Background & Track Record
My career spans high-impact roles across public health agencies, clinical research institutes, and academic settings. Most recently at Ontario Health (Cancer Care Ontario), I served as Senior Methodologist, leading quantitative methods for sector capacity planning, performance measurement, microcosting, and provincial funding model evaluations.
Prior to that, I directed biostatistical strategy and clinical trial design for brain health initiatives at Baycrest Hospital’s Rotman Research Institute. My background also includes serving as Senior Statistician supporting gynecologic oncology protocols at Sunnybrook Research Institute, alongside long-standing research consulting at York University focused on systematic reviews, meta-analyses, and epidemiological methods.
Education & Training
PhD, Epidemiology — York University
MSc, Epidemiology — York University
BA (Specialized Honours), Kinesiology & Health Science — York University