About Me

• “A method is more important than a discovery, since the right method will lead to new and even more important discoveries.” - Lev Landau

Hello! I’m a (incoming) SkAI Institute Fellow @ Northwestern University joint with Fermilab under the Computational Science & AI Directorate. I’m a physicist and a cosmologist, and am also a member of the Dark Energy Science Collaboration (DESC). I’m generally interested in the intersection of artificial intelligence and cosmology and astrophysics, particularly applications which utilize differentiable programming/simulations and Bayesian inference. I also have complementary interests in AI robustness and generalization of neural networks.

My work has brought me to diverse corners of the cosmology landscape, including weighing supermassive black holes (in undergrad), studying alternative cosmological timelines (my Ph.D.), and modeling galaxy intrinsic alignment with simulations (also my Ph.D.). I’m currently interested in statistical methods that extract maximal information from cosmological datasets (so-called field level inference), and building the AI and differentiable programming infrastructure to enable these methods at scale.

I recently completed my Ph.D. in Physics @ Northeastern University and IAIFI, advised by Jim Halverson and Jonathan Blazek. I previously earned my BSc in Engineering Physics with minors in Math & Astronomy from the University of Illinois at Urbana-Champaign (UIUC). I was a NSF fellow at the National Center for Supercomputing Applications and Galaxy and Black Hole Astrophysics Group working under Dr. Xin Liu.

In my freetime, I enjoy weightlifting, climbing, and adding records to online shopping carts which never get checked out.

My alma mater referenced in a xkcd comic