I work with computational systems and like to go fast outdoors.
I'm currently an undergrad at Northeastern, where I compete on the Club Cycling and Nordic Skiing teams. My research focuses on inverse design problems, ocean acidification modeling, and automating software development.
Developed Generative Flow Networks to sample diverse, high-performing hyperparameter configurations for machine learning models.
lslpy is a library that enables contracts, property-based randomized testing, and verification via symbolic execution in Python, inspired by LSL.
Fine-tuned a Dual-stream Spatio-temporal Transformer to learn dense representations of running form from monocular video. Can identify potential injury-causing form issues using simple vector classification.
YouTube channel where I record me or my friends doing cool stuff outside.
