Computer Science Department
Viterbi School of Engineering
University of Southern California
(notice that email@example.com is NOT me)
Office: PHE 336
I have been an assistant professor in the Computer Science Department, of the Viterbi School of Engineering at USC since 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.
I am offering the class CSCI-686 Advanced Data Analytics in the Spring 2014 term.
I gave the tutorial at CIKM 2013 on Causality Analysis from Time Series Data.
We have built an online tool for visualizizing Granger causality.
I received the Okawa Foundation Research Award in 2013.
I received an NSF CAREER Award in 2013.
We are building a repository of datasets and code for multivariate time series analysis.
I served as the Program Co-chair for the 2013 International Workshops on Climate Informatics.
I co-organzed the Second AAAI symposium on Discovery Informatics in 2013.
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!