I am a third year PhD student in Computer Science, Viterbi Dean's Doctoral Fellow, and Alfred E. Mann Innovation in Engineering Fellow at the University of Southern California. My research uses machine learning to extract insight from digital data in high impact domains, including but not limited to health care. I am advised by Prof. Yan Liu and a member of the Melady Lab.
I am also affiliated with the Laura P. and Leland K. Whittier Virtual Pediatric Intensive Care Unit (VPICU) at Children's Hospital, where I worked for three years as a data scientist. I help organize the annual Meaningful Use of Complex Medical Data (MUCMD) Symposium and am a co-founder of Podimetrics.
Even further back, I completed my BS in Symbolic Systems and MS in Computer Science at Stanford University. Go Cardinal.
Nov 15, 2014: We presented our work on computational phenotyping using deep learning at the 1st annual AMIA DMMI workshop.
Sep 19, 2014: Our paper on time series kernel hashing was accepted at ICDM (9.7% acceptance)!
Sep 5, 2014: I completed my summer internship at Microsoft Research, working with Scott Saponas on mobile health sensing.
Aug 27, 2014: I am a judge in the Qualcomm Tricorder XPRIZE. They announced our ten finalists on my birthday!
June 5, 2014: I have received the Alfred E. Mann Innovation in Engineering Fellowship.