Philip and Cayley MacDonald Endowed Early Career Chair
Director, USC Machine Learning Center
Computer Science Department
Ming Hsieh Department of Electrical Engineering (by courtesy)
Viterbi School of Engineering
University of Southern California
(notice that firstname.lastname@example.org is NOT me)
Office: PHE 336
I am an associate professor in the Computer Science Department, of the Viterbi School of Engineering at USC. I joined USC in August 2010. Before that, I was a research staff member in the Data Analytics Group at the IBM T.J. Watson Research Center since November 2006. I received my M.S. and Ph.D. from Carnegie Mellon University. My research interests include machine learning and data mining with applications to biology, climate science, health, and social media. Here is my CV.
Facebook Faculty Award, 2015
IBM Faculty Award, 2015
Okawa Foundation Research Award, 2013 (details)
NSF CAREER Award, 2013 (details)
Yahoo! Faculty Award, 2011 (details)
James H. Zumberge Research and Innovation Fund Individual Award, 2011
ACM Dissertation Award Honorable Mention, 2007 (details). Here I am at the award banquet.
Best Paper Award, SIAM Conference on Data Mining, 2007 (SDM 2007)
Winner of several data mining competitions:
Team lead, winning team, Netflix Movie Rating Prediction, KDD Cup 2007
Team member, winning team, Fast Scoring on a Large Marketing Database KDD Cup 2009
Early Detection of Breast Cancer, KDD Cup 2008
INFORMS Data Mining Competition 2008
Machine learning for automatically quantifying patent quality (for technical details, see KDD 2011 paper)
Prospective MS students: please do not contact me because I am not involved with the MS admission process.
Prospective PhD students: if you are interested in working with me, please include my name in your application.
Current MS students: if you interested in working with me, take one of my classes and perform well!