I am a Ph.D. Student in Computer Science both affliated with The Kahlert School of Computing (SoC) and Scientific Computing and Imaging Institute (SCI) at The University of Utah. I am advised by Dr. Varun Shankar and Dr. Shandian Zhe.

My research interests include, but are not limited to:

• AI for Science: Operator Learning, Physics-informed ML, recently being awarded a grant to attend UChicago's AI + Science Summer School
• Probabalistic Learning: Bayesian modeling, Approximate Inference, Uncertainty quantification of deep models

Previously I completed my masters at Durham University, where my thesis investigated novel methods for modeling irregular & multivariate time series data of Active Galactic Nuclei (AGN) with the goal of improving existing reverberation mapping techniques.