Philip and Cayley MacDonald Endowed Early Career Chair and Professor of Computer Science, Electrical and Computer Engineering, and Biomedical Sciences
Education
- Doctoral Degree, Computer Science, Carnegie-Mellon University
- Master's Degree, Computer Science, Carnegie-Mellon University
- Bachelor's Degree, Computer Science, Peking University
Biography
I am a full 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.
Research Summary
My research interests are machine learning and artificial intelligence and their applications to health care, sustainability (climate science, traffic etc), and social media analysis. Specific topics include (1) novel machine learning models for time series analysis and modeling; (2) explainable machine learning models; and (3) efficient algorithms for sampling and optimization.
Awards
- 2021 ACM Distinguished Member
- 2020 National Academy of Inventors Senior Member
- 2018 New Voices of National Academies of Science, Engineering, and Medicine
- 2017 Biocom Catalyst Award Winner
- 2013 Okawa Foundation Okawa Foundation Research Award
- 2013 NSF NSF CAREER Award
- 2011 James H. Zumberge Research and Innovation Fund Individual Award
- 2011 Yahoo Faculty Research & Engagement Award
- 2007 ACM Doctoral Dissertation Award Honorable Mention
- 2007 Best Paper Award in SIAM Conference on Data Mining
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