Scholar
Ruohan Zhan
Google Scholar ID: KNUCLh0AAAAJ
University College London
Citations & Impact
Citations
964
H-index
12
i10-index
12
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Publications include 'Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits' (KDD 2021), 'Estimating Treatment Effects under Recommender Interference: A Structured Neural Networks Approach' (Extended abstract appeared in EC'24), 'Personalized Policy Learning through Discrete Experimentation: Theory and Empirical Evidence' and several other working papers and journal articles.
Research Experience
- Assistant Professor at UCL School of Management since 2023; Assistant Professor at Hong Kong University of Science and Technology from 2021 to 2023; Postdoc at Stanford Graduate School of Business in 2022; Full-time at Kuaishou Technology from 2021 to 2022; Interned at Google during summers of 2019 and 2020.
Education
- PhD in Computational and Applied Mathematics from Stanford University in 2021, advised by Susan Athey; MS in Statistics from Stanford University in 2021; BS in Mathematics from Peking University in 2017.
Background
- Research Interests: Digital platforms and online marketplaces, developing and applying methods from causal inference, econometrics, statistics, and machine learning. Research Focus: Causal evaluation of marketplace interventions, policy targeting to enhance data-driven decision-making, and the design of experiments and algorithms to optimize platform operations.
Co-authors