Hello! I am a PhD student in Statistics and Data Science at Carnegie Mellon University where I am advised by Mikael Kuusela. I am also the Coordinator for the Statistical Methods for the Physical Sciences (STAMPS) Research Center.

My research interests primarily involve developing statistical methods for complex datasets that arise in the physical sciences. In recent work, I have been developing neural simulation-based inference methods to address systematic misspecifications in aerosol simulations, as well as applying the potential outcomes causal inference framework to problems with spatial process treatments. I am also reviewing for the Annals of Applied Statistics.

Before joining CMU in Fall 2023, I was a research scientist at the National Laboratory of the Rockies (NLR), where I worked on a wide range of problems from understanding the energy costs of AI to real-time traffic state estimation.