I'm a sophomore at UNC Chapel Hill studying Computer Science and Applied Math. Currently, I'm doing an MLE internship at Careset where I use geometric ML to understand the American healthcare system.
I spend my time learning about efficient inference, ML for games, and geometric ML by reading papers and working on research or projects. In my free time, I study and play poker as a member of the UNC Poker Club and dabble in the guitar.
Efficient Inference: Understanding how to serve large models quicker and more efficiently.
ML for Games: Researching techniques for improving the performance of ML in games with a particular interest in poker.
Geometric ML: Using geometric ML to solve problems in healthcare and push forward the SoTA in particle jet tagging.