projects

Selected research and software projects in Bayesian inference, scientific machine learning, mathematical modelling, and network science.

These case studies show how I move from a scientific question to a validated computational workflow. Each project highlights the problem, my contribution, and the methods or tools used.

research

Neural surrogates for pathogen-importation forecasting

Making a global, coupled ODE model tractable for Bayesian inference and probabilistic forecasting.

Air-travel network change during COVID-19

A reproducible temporal-network analysis of changing connectivity across Canada, the USA, and Europe.

Dynamics of COVID-19 variants of concern

Mathematical analysis of competitive variant dynamics over asymptotic and policy-relevant finite time horizons.

HPV vaccination and cervical-cancer prevention

Evaluating population-level prevention strategies with a mathematical transmission model for Alberta, Canada.

software

temporal_networks

A tested Python package for constructing, analysing, and comparing networks that change over time.

wikipediaGATN

An open-source Python package that constructs global air-transportation networks from public data.