I am a cell and systems biologist and data scientist interested in how evidence, computation, and systems thinking can help us understand complex problems.

My work spans molecular and cellular biology, cancer multi-omics, reproducible data analysis, economic and policy research, and educational modelling. I enjoy translating scientific ideas into transparent analytical tools that support learning and evidence-informed decision-making.

• 🔬 PhD in Cell & Systems Biology from the University of Toronto
• 🧬 Research experience in stem cells, aging, pharmacology, and cancer genomics
• 📊 Experience applying data science to public policy and economic analysis
• 🧩 Current interests include complexity, emergence, artificial life, and scientific education
• 📍 Based in Victoria, British Columbia, Canada

• Developing educational R tools for exploring emergence and complex systems
• Building simplified models of artificial life, self-organization, and agent interaction
• Creating accessible resources for experimentation and evidence-based decision-making
• Exploring reproducible approaches to biological, social, and policy questions

An educational R package for exploring emergence, self-organization, cellular automata, agent interactions, and network growth.

Documentation · Getting started

An educational toolkit for examining simplified artificial-life concepts, including agents, resources, metabolism-like constraints, reproduction, and population dynamics.

Documentation · Resource competition tutorial

An open learning resource developed for the Government of Canada's Experimentation Works program, covering problem definition, research questions, stakeholder engagement, and experimental design in the public service.

• Anatomy of Morbidity — UBC hackathon project exploring health and morbidity data
• COVID-19 Analysis — reproducible analysis of Johns Hopkins COVID-19 data
• Code vs COVID-19 — simulation of hospital supply and demand
• BC Economic Status Indices — area-based economic indices for British Columbia

The visualization presents broad areas of experience and current focus; it is not intended as a numerical proficiency score.

My scientific work began in cell and molecular biology and developed through research on bone differentiation, microgravity-related bone loss, aging, drug metabolism, and rare-cancer multi-omics. I later brought that scientific perspective into public-sector data science, economics, policy analysis, and experimentation.

Across these areas, one principle remains constant: methods should be transparent, evidence should be interpreted carefully, and analytical work should be useful to others.

I am also interested in science communication, open knowledge, human rights, and the relationship between complex systems, life, and consciousness. Away from the screen, I enjoy travelling, hiking, dancing, writing, painting, and photography.