Hello! I am currently a Member of the Technical Staff at Axiom Bio, embracing a brave new world!

Most recently, I was a postdoctoral researcher at UC Berkeley, where I was fortunate to be hosted by Michael I. Jordan. At Berkeley, I witnessed the maturation of generative AI, and grew excited about the potential of modern machine learning to unlock unprecedented abundance¹ — in theorem proving, coding, and higher-stakes applications like drug discovery and law. Along the way, I explored several topics related to improving efficiency and reliability of the machine learning pipeline, including diffusion inference, hyperparameter tuning, and data attribution.

Prior to joining Berkeley, I was a Master's, and then PhD student in Computer Science at Princeton University. I was extremely fortunate to have my advisor Matt Weinberg as a mentor, and to work with many wonderful collaborators on online optimization, incentive, learning, and their intersection. Prior to Princeton, I graduated with University Honors from UIUC with a B.S. in Computer Science and a B.S. in Mathematics.

Fun fact: I did not start off in college as a STEM major.

Here is my CV.

¹ At the same time, I am concerned about what the perceived depreciation of human technical experience is doing to the labor market, where people are currently left to save themselves or be hung out to dry. Still thinking about how we can better help each other through this chaotic period!