Christian Testa

I am a first year PhD student in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health. My research interest areas include causal inference, infectious diseases, and spatial statistics.

Recently I worked (2020-2023) as a statistical analyst with Nancy Krieger and Jarvis Chen in the Department of Social and Behavioral Sciences at the Harvard T.H. Chan School of Public Health as a statistical data analyst on several projects including:

  • The Public Health Disparities Geocoding Project 2.0
  • Two NIH R01 grant funded projects:
    • DNA methylation & adversity: pathways from exposures to health inequities
    • Advancing novel methods to measure and analyze multiple types of discrimination for population health research
  • A COVID-19 Paper Series

Prior to that, I worked (2017-2020) in the Department of Global Health and Population at Harvard T.H. Chan School of Public Health with Joshua Soloman (now at Stanford) and Nicolas Menzies in the Prevention Policy Modeling Lab as a data analyst and programmer on several projects.

Those projects included:

  • A web-app to allow users to interact with a Bayesian simulation model of tuberculosis in the US 50 states and DC under user-configurable scenarios.
  • Papers on gonorrhea, syphilis, and tuberculosis transmission in US contexts and implications for strategies for prevention.

I received my Bachelors of Science in Mathematics from Tufts University in 2017.

Recent Blog Posts

Our Trip to Seattle

Our Trip to Seattle feature image

Seattle was so much fun! I don’t know how on Earth we did so much in just two days, but we did.


Scale (Zoom) Dependent Maps with Leaflet in R

Scale (Zoom) Dependent Maps with Leaflet in R feature image

Something I’ve wanted to accomplish for a while is producing interactive maps in R that provide a higher level of resolution as the user zooms in.

I’ve finally sat down and accomplished that, and I’m quite happy to be sharing the R code here.

Since I live in the Boston area and have family in the New York area, I thought those were great examples to start with, but the code should be easily adaptable to any US state or locale that has data collected in the American Community Survey.


The first offering of ID529 Data Management and Analytic Workflows in R at Harvard

The first offering of ID529 Data Management and Analytic Workflows in R at Harvard feature image

Teaching ID529 was such a blast, and I’m so happy with how the course turned out. The students have repeatedly communicated that they learned an extraordinary amount, that the skills they learned will be tools and frameworks of thinking they take forward with them as they continue their research and scholarship, and that they appreciated the down-to-earth, fun, affirmative atmosphere we fostered in our classroom.


→ Click here to see more of my blog posts ←

Publications

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.