Assistant Professor Industrial and Systems Engineering, Computer Science, and Electrical and Computer Engineering
- 2014, Doctoral Degree, University of Minnesota
I am an assistant professor at the department of Industrial and Systems Engineering at the University of Southern California. Prior to joining USC, I was a postdoctoral research fellow in the Department of Electrical Engineering at Stanford University working with Professor David Tse. I received my PhD in Electrical Engineering with minor in Computer Science at the University of Minnesota under the supervision of Professor Tom Luo. I obtained my MS degree in Mathematics under the supervision of Professor Gennady Lyubeznik and Professor Tom Luo.
I am looking for motivated graduate students and postdocs. Please email me if you are interested.
I am passionate about the design and study of efficient large scale data analysis algorithms and tools with applications in bioinformatics, computational biology, machine learning, wireless data communication, and statistical signal processing.
IEEE Data Science Workshop Best Paper Award, 2019
Finalist of the Best Paper Prize for Young Researcher in Continuous Optimization, ICCOPT 2016
Signal Processing Society Young Author Best Paper Award, December 2014
Doctoral Dissertation Fellowship, University of Minnesota, Twin Cities, 2013
Finalist of the Best Paper Prize for Young Researcher in Continuous Optimization, ICCOPT 2013
Paper Shortlisted for Best Student Paper Award, SPAWC 2010
- Daniel J Epstein Department of Industrial and Systems Engineering
- Computer Science
- Ming Hsieh Department of Electrical and Computer Engineering - Systems
- OHE 310G
- Olin Hall of Engineering
- 3650 McClintock Ave., Los Angeles, CA 90089
- USC Mail Code: 193