Computational Science, Numerical Analysis, Optimization, & Scientific Machine Learning
Providence, Baton Rouge
| Google Scholar | ResearchGate | arXiv | ORCID |
I am the Morton E. Gurtin Assistant Professor of Applied Mathematics in the Division of Applied Mathematics at Brown University. I work on numerical methods for partial differential equations (PDEs), scientific machine learning, and PDE-constrained optimization.
Research Highlight: See this press release about my work on machine learning and black holes!
Short Bio: Before coming to Brown, I was a postdoctoral researcher at the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory. Before that, I was a postdoc at the Institute for Computational and Experimental Research in Mathematics. Before that, I was a postdoc at the Chair of Numerical Analysis at the Technical University of Munich, where I was supervised by Barbara Wohlmuth. Before that, I was a Ph.D. student at the Oden Institute for Computational Engineering & Sciences, where I was supervised by Leszek Demkowicz.
I was recently selected as one of Popular Science’s “Brilliant 10” early career researchers.
[List your current research funding sources and details here.]
[List your selected publications here.]
[List your teaching activities, courses, and syllabi here.]
[Include any additional interests or activities outside of academia here.]