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    Ruohan Zhan

    Stanford Ph.D. Candidate in Causal Inference and Machine Learning

    Ruohan Zhan is a researcher and academic with expertise in machine learning, causal inference, and statistical learning. Here are some key details about his background and career:

    Education and Current Role

    Ruohan Zhan is currently an Assistant Professor in the Department of Industrial Engineering and Decision Analytics at The Hong Kong University of Science and Technology.4 He holds a PhD, though the specific institution is not mentioned in the provided search results.

    Research Experience

    Google Research Internship

    Ruohan Zhan worked as a Research Intern at Google from June 2020 to September 2020 (4 months) in Mountain View, California. During this internship, he focused on reinforcement learning and counterfactual reasoning.3

    Other Research Positions

    • He has also spent summers in 2019 and 2020 at Google Research.2
    • Worked full-time at Kuaishou Technology during 2021-2022.2

    Research Interests and Contributions

    Ruohan Zhan's research primarily focuses on:

    1. Causal Inference
    2. Statistical Learning
    3. Machine Learning

    He has published numerous papers in prestigious conferences and journals, including:

    • Proceedings of the National Academy of Sciences
    • ACM SIGKDD Conference on Knowledge Discovery and Data Mining
    • Conference on Neural Information Processing Systems (NeurIPS)
    • Proceedings of the Web Conference (WWW)

    His work often involves topics such as:

    • Policy evaluation in adaptive experiments
    • Off-policy evaluation in contextual bandits
    • Reinforcement learning
    • Recommendation systems

    Publications and Impact

    Ruohan Zhan has authored or co-authored several influential papers, with his work being cited hundreds of times. Some of his notable publications include:

    • "Confidence intervals for policy evaluation in adaptive experiments" (2021)
    • "Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits" (2021)
    • "Policy Learning with Adaptively Collected Data" (2023)

    Online Presence

    Ruohan Zhan maintains a professional online presence:

    • LinkedIn: His profile username is ruohanzhan.3
    • Personal website: https://ruohanzhan.github.io2
    • Google Scholar profile: Available, showcasing his publications and citations.1

    Ruohan Zhan's diverse research experience and contributions to the fields of machine learning and causal inference demonstrate his expertise and impact in these areas.

    Related Questions

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    Ruohan Zhan
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    Location

    Stanford, California, United States