I build machine learning systems and statistical models for public health, from predicting tuberculosis transmission clusters to evaluating safer supply programs for Indigenous communities. Published in Nature Scientific Reports.
Selected Work
Built supervised ML models to predict onward transmission risk across 2,588 culture-positive BC TB cases. Published in Nature Scientific Reports (2024). Best model achieved AUC 0.82 using balanced random forest with genomic and clinical features.
Quantitative analysis of BC's safer supply initiative during COVID-19 and the toxic drug crisis. Applied GEE and longitudinal predictive modeling to evaluate program effects on depression, substance use, and quality of life. Published in the International Journal of Indigenous Health (2025).
Contributed to design and development of an AI-powered specialist referral system for healthcare. Built geographic matching and semantic search components using LangGraph, FHIR, and vector embeddings.
Mathematical model to generate music satisfying a composer's chosen statistical distribution while respecting music theory structural laws. Built before generative AI became mainstream — an early exploration of probabilistic generative systems.
Capabilities
A blend of Bayesian statistics, machine learning, LLM engineering, and epidemiological modeling for public health research and decision support.
Background
I am a PhD-level applied scientist specializing in machine learning, Bayesian inference, and statistical modeling for public health. My work spans infectious disease surveillance, harm reduction research, and LLM-based health applications.
My research has been published in Nature Scientific Reports and the International Journal of Indigenous Health. I have built tools deployed in BC's COVID-19 response and contributed to provincial safer supply policy through quantitative analysis of Indigenous health data.
I work at the boundary between research and production, building models that get used, not just models that perform in notebooks. Currently developing health AI applications using LangGraph, FHIR, and semantic search.
Senior Data Analyst (Applied Scientist), First Nations Health Authority, Vancouver BC
Records analyzed across linked provincial health datasets at FNHA
Simulation and outbreak projection tools deployed during BC COVID-19 response
Years of research and applied data science across public health and epidemiology
Get In Touch
I work with public health agencies, research institutions, and health-focused organizations on machine learning, Bayesian modeling, epidemiological analysis, and LLM-based health applications. Reach out to discuss your project.