I am a postdoc at Vertaix and the Computer Science department of Princeton University, working with Prof. Adji Bousso Dieng. I obtained my Ph.D. in Computer Science from McKelvey School of Engineering at Washington University in St. Louis, advised by Prof. Roman Garnett. I was also briefly advised by Prof. Sanmay Das while he was at WashU. My research interests are in Bayesian machine learning, active search, and general decision-making under uncertainty to accelerate and automate scientific discovery.

I am also an avid programmer and a Python enthusiast. Aside from research, I often write about data science, scientific computing, and Python programming.

My CV, last updated in May 2023, can be found here.

Recent news

August 2024: I started my postdoc at Vertaix!

July 2024: Our paper on active learning of convex hulls of materials is accepted to Materials Horizons.

June 2024: First paper with Vertaix for diverse experimental design is published at ICML.

June 2024: I defended my Ph.D.!

November 2023: Bayesian Optimization in Action is published.

[Last updated in September 2024]