Resources

Over the years, I’ve collected books, papers, tutorials, and tools that have helped me grow as a researcher. Some of these I discovered through coursework or colleagues; others I stumbled on while trying to figure something out on my own. This page is an attempt to organize and pass them on.

The collection reflects my own path and interests, so it leans toward infectious disease modeling, epidemiological methods, and the practical side of academic life. It’s not meant to be exhaustive. I’ve tried to highlight resources that I’ve personally found useful or that I’d recommend to a student or collaborator who asked me where to start.

This page is a work in progress. If you have suggestions for resources I should add, I’d love to hear from you.

Research Practice

The “how” of doing science day to day: navigating AI tools thoughtfully, improving your writing, giving better talks, and staying organized.

Methods

Quantitative tools I use in my own work and that come up often in infectious disease epidemiology, including causal inference, Bayesian statistics, mathematical modeling, and coding.