Population genetics theory and data analysis

I am a mathematical and computation biologist developing statistical methods for detecting emerging pandemics in wastewater metagenomic data. I work on the Nucleic Acid Observatory project at SecureBio and MIT’s Sculpting Evolution group.

Previously, I was a Postdoctoral Scholar in the Novembre Lab at the University of Chicago modeling the effects of selection on genetic variation over time and space. I completed my PhD in Organismic and Evolutionary Biology with Michael Desai at Harvard. My PhD research focused on mathematical models and statistical analysis of genetic change in rapidly evolving microbial populations.

From 2020 to 2022 I worked at NIH/NCBI developing codeathons and workshops to help biologists solve computational problems and learn data science skills.

You can find my publications on Google Scholar.