Renbo Zhao
Research Interests
My research focuses on the theory and algorithms of continuous optimization and its intersection with applied probability, with applications
in machine learning and operations research.
Specific interests include:
stochastic optimization and nonlinear programming
optimization under uncertainty
online learning and reinforcement learning
Education
Professional Experiences
Research Intern, Microsoft Research AI, WA, USA, Jun. 2020 – Aug. 2020
Supervisor: Lin Xiao
Research Intern, IBM T. J. Waston Research Center, NY, USA, Jun. 2019 – Aug. 2019
Supervisor: Lior Horesh
Research Intern, EPFL, Switzerland, Jun. 2017 – Aug. 2017
Supervisor: Volkan Cevher
Research Engineer, NUS, Singapore, Jul. 2015 – Aug. 2018
Supervisors: William B. Haskell, Vincent Y. F. Tan and Huan Xu
Research Intern, Institute for Infocomm Research, Singapore, May 2013 – Nov. 2013
Supervisors: Dong-Yan Huang and Yvonne S. W. Lee
Professional Services
Session Chair: INFORMS Annual Meeting 2019
Reviewer: SIAM Journal on Optimization, Journal of Machine Learning Research, Computational Optimization and Applications, IEEE Transactions on Signal Processing
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