I am a forth-year Ph.D. student in Computer Science at the 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. Prior to this, I received a double degree in Computer Science and Mathematics, with a minor in Philosophy from DePauw University. 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. I am currently working on the Bayesian Optimization in Action book.
My CV, last updated in May 2023, can be found here.
March 2023: I am starting a new position as a Student Researcher at Google Research and will be spending the next 6 months in Mountain View.
January 2023: Our paper on diversity-aware active search has been accepted to AISTATS 2023!
December 2022: I’m excited to be at NeurIPS 2022 to present our paper on a novel way of doing local Bayesian optimization, which was selected as an oral!
December 2022: I had an amazing time speaking at this year’s PyData Global on using Bayesian optimization in practice. Most of the content was adopted my book Bayesian Optimization in Action.
November 2022: We released a new preprint on modeling the mixing thermodynamics of high-entropy alloys.
[Last updated in May 2023]