Data Science + Mathematics at NYU
I study how automated decisions and administrative measurements can be traced, tested, and trusted.
My current work spans evidence-grounded medical-data classification and empirical measurement under New York City's Local Law 97.
Available immediately for undergraduate research · approximately 10 hours/week during the academic semester
How can medical-data policy be converted into usable rules while keeping the supporting evidence attached?
Review required
Prototype completed · rules remain review-required
Did the first binding year of Local Law 97 produce new concentration immediately below the reconstructed emissions threshold?
Ongoing · first distribution result complete
I am a second-year NYU student studying Data Science and Mathematics. I am especially interested in research that combines careful data construction with empirical or model evaluation.
Availability: immediately
Academic-semester commitment: approximately 10 hours/week
Outside research, I spend a lot of time at concerts, walking around New York, and turning small curiosities—often sports-related—into questions I want to test.