Christian Testa

Christian Testa

I am a statistical data analyst at the Harvard T.H. Chan School of Public Health working with the Public Health Disparities Geocoding Project. I received my Bachelors of Science in Mathematics from Tufts University in 2017.

Research Interests

My research interests focus on mathematical modeling techniques and their public health applications.

Topics I have been particularly interested in recently include:

  • Causal inference
  • Bayesian methods
  • Spatiotemporal statistics
  • Infectious disease epidemiology
  • Flexible, machine learning methods

My recent ongoing work has focused on applying these techniques to understand disparities in COVID-19 outcomes, how discrimination throughout the lifecourse is manifested through changes in epigenetic markers as it relates to epigenetic aging, and how experiences of multifactorial types of discrimination impact people’s health.

My previous work with the Prevention Policy Modeling Lab focused on using dynamic models of infectious diseases to estimate optimal intervention strategies.

Recent Blog Posts

2021 in Review

2021 in Review feature image Photo Credit: Tamara Kohno

I couldn’t really talk about 2021 without mentioning that I got married in June 2021!

Boston Night Skyline

Boston Night Skyline feature image Photo Credit: My own work

I just wanted to share this really nice photo I took of the Boston skyline in the last couple weeks.


Simulation, Error, and Modeling the Physical World

Simulation, Error, and Modeling the Physical World feature image Photo Credit: My own work

A few years ago I took a course from Sauro Succi called Computational Methods for the Physical Sciences that surveyed topics such as computational methods for solving partial differential equations

→ Click here to see more of my blog posts ←


I have been an author on a number of journal articles and preprints. If you’d like to read them, check out my publications or Google Scholar page.