About Me


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