Xianghe Zhu is a PhD candidate in Statistics at the London School of Economics, where he also serves as a Graduate Teaching Assistant. His academic background includes an MSc from the University of Oxford and a BSc from the University of Bristol. His research is focused on reinforcement learning and causal inference.
His research involves developing advanced machine learning frameworks, including for complex multi-agent systems known as mean-field games.
Xianghe Zhu
Graduate Teaching Assistant at LSE Department of Statistics
London, England, United Kingdom
Overview
Topics They Care About
Reinforcement Learning
This is a primary focus of his PhD research at the London School of Economics, with papers on offline RL and mean-field games.
Causal Inference
Listed as one of his main research interests on his official LSE profile, alongside his work in machine learning.
Recommendation Systems
Stated as a key research interest on his LSE faculty page, indicating expertise in statistical modeling for personalization.
Media Appearances
Xianghe has no verified media appearances
Work History
9-2023
Graduate Teaching Assistant at LSE Department of Statistics
Education
9-2023 - 9-2027
Doctor of Philosophy - PhD from The London School of Economics and Political Science (LSE)
2021 - 2022
MSc from University of Oxford
More Information
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Location : London, England, United Kingdom
Job Level : Junior
Designation : Graduate Teaching Assistant at LSE Department of Statistics
