Dec 2019 - Dec 2020
Machine Learning Research Assistant
AIVAS Lab
Built a video processing ML library aimed at quantifying the addictive properties of various forms of media (YouTube, IG Reels, movies etc.)
Used FFT to clean choppy mp4 data in preparation for processing by the ML models.
Analyzed research on the neural interplay between expected reward and actual reward, especially as it related to visual output and motor input. Operationalized that research in a series of ML algorithms.