Data Science, Research & Analysis

I spent two and a half years in the Simon Lab at Mount Sinai, analyzing longitudinal antibody data for NIH-funded studies. Now I'm finishing an M.S. in Data Science at Pace and building my own projects, like ViewerAtlas, a map of which Twitch channels share an audience.

Mount Sinai · Simon Lab
2.5 years
Clinical research assistant, then data analyst on NIH-funded antibody studies
Pace University
M.S. Data Science
3.96 GPA, finishing December 2026
Peer-reviewed papers
9 publications
2 as a named co-author, 7 as a study-group contributor

Research

At Mount Sinai I analyzed longitudinal immunology and serology data in Python for NIH-funded antibody studies, and contributed to figures and statistical summaries for the manuscripts. I contributed to several peer-reviewed papers from that work: two as a named co-author and many more as part of a working study group.

All nine publications

Highlighted project

Network analysis · 2025–present

ViewerAtlas

Which Twitch channels share an active audience, and do those shared audiences form communities? Three times a day I record who chats in the roughly 1,200 most-watched live channels, then look for channels that share the same people.

ViewerAtlas community map: 900 Twitch channels drawn as colored dots in about twenty clusters, labeled by community, such as Variety (ru), Variety (ja), and Variety (en) · Dota2ti, Caedrel.
Fig. 114-day community map, Aug 13–26, 2026. 900 of 2,748 channels, colored by community.
surveys over 14 days
42
distinct chatters
897,865
channels in the graph
2,748
communities found
36

Other work

Contact

I'm open to data analyst and data scientist roles, especially research-adjacent ones.

Email is the best way to reach me, and I'm always glad to talk about any of the projects here.