I am a tenure-track assistant professor at University of Waterloo, David R. Cheriton School of Computer Science, and a faculty affiliated with Vector Institute for AI. I am interested in the problems where beautiful theory and practical methodology meet, which broadly include theories and applications of machine learning and algorithms with emphasis on robustness, security, and trustworthiness.

I completed my Ph.D. degree in 2019 with wonderful 4-year study at Machine Learning Department, Carnegie Mellon University, where I was fortunate to be co-advised by Maria-Florina Balcan and David P. Woodruff. Before joining Waterloo, I was a Postdoc fellow at Toyota Technological Institute at Chicago (TTIC), hosted by Avrim Blum and Greg Shakhnarovich. I graduated from Peking University in 2015, working with Zhouchen Lin and Chao Zhang. I had long-term visiting experiences in Simons Institute and IPAM.

Interests

  • Reliability
  • Optimization
  • Sample Efficiency

Education

  • Ph.D. in Machine Learning, 2015-2019

    Carnegie Mellon University

  • MSc in Intelligence Science and Technology, 2012-2015

    Peking University