About
I am a postdoctoral scholar at the NSF-Simons AI Institute for the Sky (SkAI), based at the University of Chicago in the Department of Astronomy and Astrophysics working with Alex Drlica-Wagner. I earned my PhD in Physics from UChicago in 2025, advised by Thomas Crawford, and I previously completed a BA in Physics (minor in Mathematics) and an MS in Physics and Astronomy at the University of Pennsylvania, advised by James Aguirre.
I specialize in data analysis, machine learning, and complex systems modeling. My current research focuses on developing AI-driven methods to optimize telescope scheduling, i.e. automating how telescopes decide what to look at and when. Previously, I integrated machine learning models into telescope control systems to improve pointing accuracy and explored new applications of millimeter-wave survey data from the South Pole Telescope. Broadly, I’m interested in time-domain and variable sources, telescope operations, and the role of AI in advancing survey design and data analysis.
I grew up near Scranton, Pennsylvania, where I spent much of my time in mock trial and theater. In college and grad school, I continued performing with Disney A Cappella and Run For Cover. Nowadays, I enjoy trying new food, renovating my bathroom, and (very slowly) learning Mandarin.