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About

(i), I am an associate professor of data science at London School of Economics and Political Science (LSE).

(ii) Pior to (i), I was an assistant professor of data science at LSE.

(iii) Prior to (ii), I was a Ph.D. student in Statistics at North Carolina State University (NCSU). I work with Dr. Wenbin Lu and Dr. Rui Song.

(iv) Prior to (iii), I obtained a B.S. in Statistics from Zhejiang University in July 2014.

(v) Prior to (iv), I graduated from Ningbo Xiaoshi High School in July 2010.

I was honoured to receive the Peter Gavin Hall Institute of Mathematical Statistics (IMS) Early Career Prize, IMS Tweedie Award and the Royal Statistical Society (RSS) Research Prize.

I am looking for students interested in LLMs (see our short course slides), reinforcement learning (see my lecture slides) and statistics.

My email c.shi7@lse.ac.uk. My GitHub.

News

  • April 2026:
    • One paper on A/B testing accepted to ICML
    • New paper connecting nonparametric statistics to LLM reasoning
    • Talks on Demystifying LLM through U-statistics theory at Columbia, University of Birmingham, IMSI RLHF workshop, Chinese Statistical Association of Scholars Spring Forum and Northwest Normal University.
  • Mar 2026:
    • One paper on A/B testing accepted to AoAS
    • New paper on demystifying LLM reasoning through U-statistics theory (slides; code; a post in Chinese).
  • Feb 2026:
    • We have an LLM short course.
    • One paper on detecting AI-generated images accepted to CVPR.
    • Talk on Stats-powered AI at QMUL.
  • Jan 2026:
    • Our proposal Lowering the Computational Barrier: Resource- and Energy-Efficient Reinforcement Learning for LLM Reasoning has been awarded!
    • Two papers on LLM and A/B testing accepted to ICLR.
    • Talks on Stats-powered AI at Renmin University, ECNU and Sanya Workshop on Causality and ML.
  • Dec 2025:
    • Our proposal Developing Reinforcement Learning Methods for Building Reliable Interventional Digital Health Systems has been awarded!
    • One paper on RL accepted to JASA, the other to Brain.
  • Nov 2025:
    • Talks on Stats-powered AI at Manchester, PolyU and Yunnan University.
  • Oct 2025:
    • Talks on Stats-powered AI at UCL, University of Birmingham.
    • One paper accepted to STAT.
  • Sep 2025:
    • Four papers on LLM and RL accepted to NeurIPS 2025. Congratulations to all co-authors!
    • Two of my AOS papers on RL were selected to present @ NeurIPS 2025.
    • Two papers accepted to JASA. Congratulations to all co-authors!
  • August 2025:
    • One paper on RL accepted to TMLR.
    • Talk at BIRS, JSM and NKU on Doubly Robust LLM Fine-Tuning.

Research

My research is motivated from the following applications:

Some of my recent talks and slides on AI, RL, statistical inference, causal inference and experimental design:

A summary of my past research: Statistical Methods in Reinforcement Learning (partly supported by EPSRC)

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