I am a postdoctoral researcher at the Argonne National Laboratory, the principal developer for the Toolkit for Advanced Optimization (TAO) package, and an active contributor to the PETSc library. My current work is focused on developing gradient-based optimization algorithms for large-scale problems in scientific discovery and machine learning.
My research interests lie in the mathematical, algorithmic and software design challenges in promoting the use of numerical optimization techniques in scientific research and industrial design, with emphasis on high performance computing applications and efficient treatment of nonlinear constraints.
- PDE-Constrained Optimization
- Scientific Machine Learning
- High Performance Computing
- Reusable Scientific Software