About me
Hi! I'm a computer science and math major at Harvey Mudd college in my sophmore year. I love machine learning and artificial intiligence, especially creating novel algorithms and proving theoretical limits on learning systems.

I have experience in both academic research and industry software development. I love tackling new problems and pushing the limits of my knowledge alongside interesting people!
Projects

AMISTAD Lab
During summer 2022, I worked at AMISTAD Lab under Prof. George Montanez at Harvey Mudd college on theoretical machine learning. Using the algorithmic search framework, we proved a generalization of prior work to using a continious metric of success. Next, we proved a fundamental tradeoff between algorithmic improvement and rigidity.
Citadel's TERMINAL Global Competition
During June, my team was part of a 3-way tie for first place in Citadel's global competition with a $50,000 prize pool. Based on a tie breaking metric, we were given 2nd place and a $10,000 prize. Competing against top players around the world, including professional competetive programmers and PhD students.
Citadel's Datathon Regional
In November 2021, my team got 1st place at Citadel's Datathon West Coast Regional competition. Competing against PhD students and top programmers from the west coast, we created a NLP clickbait detector on the website Upworthy that was sensitive enough to pick up on trends in editorial practice, winning our team a $10,000 prize.
Keous
Keous uses AI to show articles on the same topic with different perspectives, to promote diversity of thought and reduce the effects of ideological echo chambers. We scan through hundreds of articles per week from most major media outlets, show them to our AI, and choose articles that are the mathematically most different in opinion while still being on the same topic. You can find the pairings for the week below
Cataclysmic Variable Stars Research Group
During high school, my team worked with Professor Joe Patterson at Columbia University to analyze 20 years of original data on the cataclysmic variable star system BH-Lyn. I applied Fourier transformations to help find the orbital and superhump periods to produce an O-C diagram.