Stefan C. Schonsheck Email & Phone Number

I work in the intersection of data science and pubic policy, developing regulatory frameworks for verification and validation of ML models for risk-based decision making. Previously in 2020, I joined UC Davis and the TETRAPODS Institute of Data Science, working under Prof. Naoki Saito and the UC Davis math department as a Krener Assistant Professor. I taught classes in applied math and data science, specifically: numerical analysis, differential equations, optimization, and signal processing. Before this, I obtained a Ph.D. in the Applied Mathematics Department at Rensselaer Polytechnic Institute, working under Prof. Rongjie Lai. At RPI, I was active in our local SIAM chapter, spent a semester at UCLA attending the IPAM long program "Geometry and Learning from Data in 3D and Beyond," and worked with researchers at IBM through the Rensselaer-IBM Artificial Intelligence Research Collaboration. I completed my thesis, "Computational Analysis of Deformable Manifolds: from Geometric Modeling to Deep Learning," in the spring of 2020, which was awarded the Bill and Nancy Siegmann Applied Mathematical ModelingMy homepage: https://sites.google.com/view/stefancschonsheck/home