I am an undergrad at Yale majoring in Statistics & Data Science and Mathematics. I plan to graduate in Fall 2024.

I am broadly interested in inference and learning. My research has largely been at the intersection of machine learning and computational neuroscience. I have been fortunate to work with John Lafferty (Yale) and Jonathan Cohen (Princeton) during my summers. In Fall 2023, I took time off from school to work as a Project Research Intern at the Gatsby Unit with Andrew Saxe (UCL). This work was just accepted to NeurIPS 2024 as a spotlight presentation.

I am also interested in more classical statistical problems. I have worked with Yihong Wu (Yale) on studying shuffled linear regression, for which I won the Hartigan Prize from the Yale stats department. I recently presented our work at ISIT 2024.