Professor of Mechanical Engineering, College of Engineering, Director of Michigan Institute for Computational Discovery and Engineering
I am a computational scientist focusing on the development of scientific machine learning and methods for data-driven computational science. My work draws upon nonlinear physics, applied mathematics and numerical methods. I have worked for quite a few years in mathematical biology, biophysics and materials physics. Some specific problems that I have been thinking about recently are: (1) mathematical models of patterning and morphogenesis in developmental biology, (2) scale bridging using scientific machine learning, (3) using machine learning and graph-based methods to solve partial differential equations, (4) mechano-chemically driven phenomena in materials, such as phase transformations, electro-chemo-thermo-mechanics and the like, motivated by materials for batteries, electronics and structural alloys.