Scholar
Zhengyuan Zhou
Google Scholar ID: hiGI9v0AAAAJ
Dept of Technology, Operations and Statistics at NYU Stern
Citations & Impact
Citations
6,342
H-index
42
i10-index
76
Publications
20
Co-authors
0
Publications
Resume
Academic Achievements
- Gratefully supported by the IBM Goldstine fellowship.
Research Experience
- Was a visiting assistant professor at NYU Stern during 2019-2020; currently an assistant professor in the Department of Technology, Operations, and Statistics at Stern School of Business, New York University; also associated faculty at the Department of Computer Science and Engineering, Tandon School of Engineering, and affiliated faculty at NYU Center for Data Science.
Education
- Obtained Ph.D. from the Department of Electrical Engineering at Stanford University in summer 2019, advised by Professor Nick Bambos and Professor Peter Glynn.
Background
- Research interests lie at the intersection of machine learning, sequential decision making, optimization, and stochastic systems. Broadly interested in developing sample-efficient and computationally efficient policy learning algorithms for data-driven decision-making problems.
Miscellany
- Personal interests not explicitly mentioned on the webpage.