I am a PhD candidate 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. Greg Ver Steeg.
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. I am a judge in the Qualcomm Tricorder XPRIZE Competition.
Even further back, I completed my BS in Symbolic Systems and MS in Computer Science at Stanford University. Go Cardinal.
Sep 1, 2016: Passed my qualifying exam / thesis proposal. Now a candidate!
Aug 21, 2016:MLHC 2016 was a huge success. Looking for to MLHC 2017 in Boston!
Feb 8, 2016: The call for papers for MLHC (formerly MUCMD) is open. Submissions are due May 15.
Feb 2, 2016: Our paper on learning to diagnose PICU patients with recurrent neural nets was accepted to ICLR 2016. We presented preliminary results at the NIPS 2015 healthcare workshop.
Aug 12, 2015: I presented our paper on deep learning-based analysis of hospital data in the health care session at SIGKDD.
Aug 8, 2015: I moderated the machine learning for health care panel at MUCMD.