About Me
Education
Ph.D. in Mathematics, University of Maryland, 2009
B.A. in Mathematics, Cornell University, 2004
Academic Appointments
Assistant Professor, Michigan State University, 2015-
Postdoctoral Researcher, École normale supérieure, 2013-2015
Mentor: Stéphane Mallat
Visiting Assistant Professor, Cornell University, 2013
Postdoctoral Associate, Yale University, 2009-2013
Mentor: Ronald R. Coifman
Research Interests
My research is in theoretical, applied, and computational harmonic analysis. I develop mathematically provable machine learning algorithms for the analysis of high dimensional data and to circumvent prohibitively costly computations in scientific computing, thereby opening new avenues for scientific breakthroughs. My primary interests are:
• Wavelet theory and deep learning
• Diffusion based manifold learning
• Smooth extensions of Whitney type
• Quantum chemistry and many body problems
• Hyperspectral imagery analysis