Education:
4th year CS undergrad at UofT, minor in statistics.
Research:
(AI+chemistry) submitted to Nature Machine Intelligence [first author]
(audio gen, diffusion) accepted to ICML 2024 workshop [second author]
(vision, diffusion) accepted to Annual Small Satellite Conference [shared author]
(AI+chemistry) in progress, to be submitted to JCIM [first author]
(AI+finance) in progress, practical paper to be written [first author]
Worked as research assistant at finance lab, contributed to various projects involving trading algorithms, stock prediction, news sentiment analysis, options pricing, RL powered trading, etc.
Presented my work at 5-6 conference, won best research poster award.
Extracurricular:
Project lead at university aerospace team, worked on vision (denoising, destriping, etc) projects.
Founded a computer vision club at university, conducted lot of paper reading and breakdown sessions.
Paper reviewer at alphaXiv, second-highest upvoted reviewer on the platform as of November 2024.
