Micah earned his Ph.D in Mathematics from University of Washington in 2008, writing a thesis on special Lagrangian equations. In 2013, while Assistant Professor at Princeton, he became interested in connections between machine learning and geometric analysis, his field of study. He has recent work on clustering analysis using ideas from Ricci flow. He has written papers on nonlinear partial differential equations, optimal transportation, conformal geometry, minimal surface theory, game theory, mean curvature flow, and machine learning.