My work is at the intersection of Electrical Engineering, Computer Science and Mathematics, with a focus on convex optimization and machine learning. I work with Professor Adam Wierman in the RSRG group at Caltech.
As an undergraduate at the University of Washington, I worked with Professor Maryam Fazel (EE). Our project with Professor Daniela Witten (Biostatistics) and Professor Su-In Lee (CSE and Genome Sciences) uses convex optimization techniques to identify cancer related genes. A genetic network is modeled as a Gaussian Graphical Model, and an optimization problem is set up to take advantage of structured sparsity in the data.
B.S.E.E   Electrical Engineering,
B.S.         Mathematics, University of Washington, 2014
Currently: Ph.D. Computer Science student at Caltech
Here's a link to my CV.
K.M. Tan, P. London, K. Mohan, D. Witten, S.-I. Lee, M. Fazel. "Learning Graphical Models with Hubs," Journal of Machine Learning Research (JMLR), 15(Oct):3297-3331, 2014.
K. Mohan, P. London, M. Fazel, D. Witten, S.-I. Lee, Node-Based Learning of Multiple Gaussian Graphical Models, Journal of Machine Learning Research (JMLR), 15(Feb):445-488, 2014.
Honors / Awards
NSF Graduate Research Fellowship Program (GRFP)
Outstanding Undergraduate Research Assistant Award, UW EE, 2013
Mary Gates Research Scholarship, Winter and Spring 2013
HKN (Eta Kappa Nu) International EE Honor Society
University of Washington: Dean's List: 2009 - 2013
UW 2013 Undergraduate Research Symposium:
Last Updated: 3/2015