Scholar
Nian Si
Google Scholar ID: jEWU3-AAAAAJ
Hong Kong University of Science and Technology
Citations & Impact
Citations
492
H-index
11
i10-index
12
Publications
20
Co-authors
17
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Selected Recent Papers: Experimental Design in Live-Interaction Platforms, Tackling Interference Induced by Data Training Loops in A/B Tests: A Weighted Training Approach, On the Foundation of Distributionally Robust Reinforcement Learning, Singular Control of (Reflected) Brownian Motion: A Computational Method Suitable for Queueing Applications, Confidence Regions in Wasserstein Distributionally Robust Estimation.
Research Experience
- Postdoctoral Principal Researcher at the University of Chicago Booth School of Business, working with Professors Baris Ata and J. Michael Harrison; Member of the Stanford Operations Research Group.
Education
- Ph.D. in Operations Research, Stanford University, 09/2017 - 01/2023, Advisor: Jose Blanchet; Ph.D. minor in Computer Science, Stanford University, 09/2021 - 01/2023; M.S. in Statistics, Stanford University, 01/2020 - 03/2021; B.A. in Economics, Peking University, 09/2013 - 07/2017; B.S. in Mathematics and Applied Mathematics, Peking University, 09/2014 - 07/2017.
Background
- Research Interests: Optimization and evaluation of decisions; Professional Field: at the interface of operations research, statistics, and machine learning; Brief Introduction: Assistant Professor at HKUST IEDA, studying real-world operational problems arising from online platforms including A/B tests, recommendation systems, online advertising, AI, etc.
Miscellany
- Looking for undergraduate or graduate students with strong engineering skills or a solid theoretical background to join his team.
