I’m a computer science student at Brown University, specializing in artificial intelligence, machine learning, and AI safety. My research has focused on deepfake detection and large language models, with work published at international conferences such as ASE and IEEE ICAD. I also gained industry experience as a software engineering intern at Amazon, where I developed AI tools for AWS. Beyond research and industry, I co-founded Emergent AI, Brown’s first AI and startup conference, which brought together 300+ students, founders, and investors, and featured a $10k pitch competition.

AI Safety and trustworthy ML, Large Language Models, Fairness in recommender systems, Applied ML for education and productivity, Entrepreneurship in AI and startups

AI powered productivity tools — various