My work centers on the intersections of mathematics, statistics, health equity and disparities, and data visualization.

I'm currently a PhD student in Biostatistics at Harvard University.

Until recently, I was working withNancy Krieger,Jarvis Chen and Pamela Waterman to understand how complex patterns of discrimination affect people's health using hierarchical/multi-level modeling and causal inference. We wrote a series of articles about COVID-19 in the United States including the following:

• COVID-19: US federal accountability for entry, spread, and inequities—lessons for the future
• The Evolving Roles of US Political Partisanship and Social Vulnerability in the COVID-19 Pandemic from February 2020 - February 2021
• US racial and ethnic data for COVID-19 cases: still missing in action
• Intersectional inequities in COVID-19 mortality by race/ethnicity andeducation in the United States, January 1, 2020–January 31, 2021
• Missing again: US racial and ethnic data for COVID-19 vaccination
• Relationship of political ideology of US federal and state elected officials and key COVID pandemic outcomes following vaccine rollout to adults: April 2021–March 2022

See more of our publications on myGoogle Scholar.

PinnedLoading

1. RUG-at-HDSI/rug-at-hdsi.orgRUG-at-HDSI/rug-at-hdsi.orgPublic

   The website for the R User Group at the Harvard Data Science Initiative

   JavaScript 2

2. covid.gradient.estimationcovid.gradient.estimationPublic

   Using generalized additive models to analyze COVID-19 US county level mortality data

   HTML 2 1

3. spatial_poisson_covidspatial_poisson_covidPublic

   A sparse CAR Poisson model of US COVID-19 county deaths in June 2020 - February 2021

   R 1

4. longitudinal_eda_talklongitudinal_eda_talkPublic

   A presentation on exploratory data visualization for longitudinal data in R using dplyr and ggplot2

   SCSS 1

5. covid_oshacovid_oshaPublic

   This repository stores the code which was used to render figures and analyses for the COVID-19: US Federal accountability for entry, spread, and inequities—lessons for the future manuscript.

   R 2