$ blog
2024-04-30

Training Generative Flow Networks to select optimal neural network hyperparameters

Developed Generative Flow Networks to sample diverse, high-performing hyperparameter configurations for machine learning models.

reinforcement learning hyperparameter tuning generative flow networks
2024-04-14

lslpy: A python library for contracts, property-based testing, and symbolic execution

lslpy is a library that enables contracts, property-based randomized testing, and verification via symbolic execution in Python, inspired by LSL.

python program verification
2023-12-08

Detecting running form deficiencies with few-shot learning

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.

transformers computer vision biomechanics
2023-09-22

Automatically importing a Northeastern course schedule into any calendar app

Built a React app that converts course reference numbers into calendar events, allowing students to easily schedule courses in any calendar app.

react
2023-07-08

Building a Twitter bot to help thousands find COVID vaccines

Scraped and analyzed real-time vaccine availability data from CVS pharmacies during the COVID-19 pandemic. Leveraged Twitter API to publicly tweet vaccine availability changes 24/7, gaining ~10,000 followers at peak.

webscraping twitter api