Department of Statistics and the College
Yuehaw Khoo is an applied mathematician interested in developing computational and data-driven techniques for problems in biological and physical sciences. He develops methods for protein structure determination from nuclear magnetic resonance spectroscopy and cryogenic electron microscopy. His work addresses the numerical challenges that arise in these applications using optimization and machine learning methods. Broadly speaking, his research centers on two common challenges: non-convex, discrete, or large-scale optimization problems; and representation of high-dimensional functions. The solutions to these challenges can be applied in such engineering disciplines as computer graphics, medical imaging, and sensor networks.
His research has been published in the Journal of Biomolecular NMR, SIAM Journal on Scientific Computing, and SIAM Journal on Optimization.
Khoo received a PhD and MA in physics from Princeton University and was a postdoctoral scholar in mathematics at Stanford University.