Dave Kale

MACHINE LEARNING SCIENTIST and PHD

email: [FIRST INITIAL][LAST NAME] @usc.edu

I am a newly minted PhD in Computer Science from the University of Southern California. While at USC, I was a Viterbi Dean's Doctoral Fellow and Alfred E. Mann Innovation in Engineering Fellow at the University of Southern California. My research used machine learning to extract insight from digital data in high impact domains, including but not limited to health care. I was advised by Prof. Greg Ver Steeg within the MINDS lab at ISI.

During my PhD, I collaborated 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 and the Shah Lab in the Center for Biomedical Informatics Research at Stanford. I co-founded and organize the annual Machine Learning for Healthcare Conference (MLHC) and am a co-founder of Podimetrics. I served as a judge in the Qualcomm Tricorder XPRIZE Competition and am currently judging the IBM Watson AI XPRIZE.

Even further back, I completed my BS in Symbolic Systems and MS in Computer Science at Stanford University. Go Cardinal.

NEWS

Aug 14, 2018: I successfully defended my dissertation on "Learning to Diagnose from Electronic Health Records Data." Next stop: Netflix!
Dec 8, 2017: We presented our clinical prediction benchmark dataset in a spotlight talk at the NIPS 2017 ML4H Workshop!
Nov 1, 2017: The brand new MLHC website is online at http://mlforhc.org.
Aug 19, 2017: MLHC 2017 had double the attendance of 2016. Looking for to MLHC 2018 at Stanford!
April 24, 2017: Sebastien presented our empirical evaluation of transfer learning for EHR data in the Workshop Track at ICLR 2017.
March 23, 2017: Our clinical prediction benchmark dataset, based on MIMIC-III, is now available.
December 21, 2016: I proudly welcome my son Wallace Robert Kale to the world! I'll be taking a bit of a hiatus from research for part of 2017.