I am currently an Assistant Professor (tenure-track) in the Kahlert School of Computing at the University of Utah. I develop scientific machine learning (SciML) architectures, with a focus on scalability, provable correctness, and robustness. My long-term goal is to create digital twins for personalized medicine and building automation.
I obtained my PhD in Scientific Computing from the School of Computing at the University of Utah in 2014. I followed that up with a 4-year postdoctoral position in the Department of Mathematics at the University of Utah. I then spent 5 years as a (non tenure-track) lecturer within the School of Computing.
My other research interests include statistical data fitting, meshless scientific computing, and high-performance computing.