About me

I am a second year Ph.D. Student in Computer Science both affiliated 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 under the Utah Digital Twin Lab and Dr. Shandian Zhe.

My research interests include, but are not limited to:

• SciML: Operator Learning, Physics-informed ML
• Probabalistic Learning
• kernel methods

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. A poster I presented for this work at UChicago’s AI + Science Summer School can be found here.

Some of my recent graduate coursework:

• Probabilistic Machine Learning (CS 6190)
• Advanced Scientific Computing II (CS 6220)
• Computational Geometry (CS 6160)
• Advanced Optimization Algorithms (ECE 6960)