Biography
My research interests lie broadly in the fields of applied harmonic analysis and machine learning. One of the main ideas that I exploit is the representation of data (for example, human voice, social media trends, or, more related to my work, images) into relatively simple building blocks that harness hidden structures in the data to extract relevant information and often reduce the computational cost of algorithms. A few subareas of applied harmonic analysis and machine learning included in my past and current work are diffusion geometry, analysis on graphs, composite wavelets, and image processing.