معرفی
Nicholas Dexter is an Assistant Professor in the Department of Scientific Computing at Florida State University (FSU), a position he has held since August 2022. Previously, he was a Pacific Institute for the Mathematical Sciences (PIMS) Postdoctoral Fellow at Simon Fraser University (2018–2022), where he worked with Professors Ben Adcock and others. He earned his Ph.D. in Mathematics from the University of Tennessee (2018) under Clayton Webster and a B.S. in Computational Mathematics from Rochester Institute of Technology (2011). His research focuses on machine learning, compressed sensing, high-dimensional approximation, and uncertainty quantification, with applications to computational epidemiology and genomics.
Key achievements include developing sparse recovery techniques for parametric PDE solutions and advancing deep neural network (DNN) theory for high-dimensional function approximation. He has received awards such as the PIMS Postdoctoral Fellowship and the Distinguished Graduate Fellowship. His work bridges mathematical rigor and practical machine learning applications, emphasizing robustness and sample efficiency.
Teaching includes Applied Linear Algebra (MATH 232) at Simon Fraser University and Calculus I (MATH 141) at the University of Tennessee. He is a member of SIAM (with focus on Uncertainty Quantification and Computational Science) and the American Mathematical Society.
