I study Electrical Engineering and Mathematics, with a focus on convex optimization and machine learning.
At the University of Washington, I worked with Professor Maryam Fazel in the EE department. Our project with Professor Daniela Witten (Biostatistics) and Professor Su-In Lee (CSE and Genome Sciences) uses convex optimization and machine learning 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. student at Caltech, in the
Computing and Mathematical Sciences (CMS) department.
Here's a link to my CV.
K. Mohan, P. London, M. Fazel, D. Witten, S.-I. Lee, "Node-Based Learning of Multiple Gaussian Graphical Models," 2013. Accepted to Journal of Machine Learning Research (JMLR).
K.M. Tan, P. London, K. Mohan, D. Witten, S.-I. Lee, M. Fazel. "Learning Graphical Models with Hubs," 2013. Submitted to Journal of Machine Learning Research.
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: