About
Staff mathematician in the Applied & Computational Mathematics Division (ACMD) within the Information Technology Lab (ITL) at NIST. My research focuses on model-based dimension reduction and manifold learning for explanations and interpretations related to AI/ML, with applications in imaging, signal processing, geometry, and optimization.
Education
- Ph.D. Aerospace Engineering//, CU Boulder
- M.S. Aero.-Astro. Engineering, Purdue
- B.S. Aerospace Engineering, Embry-Riddle
//Coursework and qualifying exams in Computational & Applied Mathematics, Colorado School of Mines
Previously
- Fryrear Fellow, Colorado School of Mines
- Robust Design Technical Lead, Rolls-Royce
- NASA Space Grant Research Assistant
