Yuchen Hu

Hi! I am a fourth-year Ph.D. student in the Department of Management Science and Engineering at Stanford University, advised by Dr. Stefan Wager. I am interested in a wide range of topics related to causal inference, data-driven decision making, and dynamic treatment regimes. A copy of my CV is available here.

Before coming to Stanford, I obtained my MS in Biostatistics from Harvard University and BSc in Applied Math from Hong Kong Polytechnic University. I was lucky to be advised by Professors Rui Wang and Binyan Jiang there.

Research

Preprints

• Minimax-Regret Sample Selection in Randomized Experiments. [arxiv]
  Yuchen Hu, Henry Zhu, Emma Brunskill, Stefan Wager.
  
• Switchback Experiments under Geometric Mixing. [arxiv]
  Yuchen Hu, Stefan Wager.
  

Journal Articles

• Off-Policy Evaluation in Partially Observed Markov Decision Processes under Sequential Ignorability. [paper, arxiv, replication]
  Yuchen Hu, Stefan Wager.
  Annals of Statistics, 51(4), 2023.
  
• Average Direct and Indirect Causal Effects under Interference. [paper, arxiv]
  Yuchen Hu, Shuangning Li, Stefan Wager.
  Biometrika, 109(4), 2022.
  
• Comparison of Empirical and Dynamic Models for HIV Viral Load Rebound after Treatment Interruption. [paper]
  Ante Bing^*, Yuchen Hu^*, Melanie Prague, Alison L. Hill, Jonathan Z. Li, Ronald J. Bosch, Victor DeGruttola, Rui Wang.
  Statistical Communications in Infectious Diseases, 12(s1), 2020.
  
• A Flexible Nonlinear Mixed Effects Model for HIV Viral Load Rebound after Treatment Interruption. [paper]
  Rui Wang, Ante Bing, Cathy Wang, Yuchen Hu, Ronald J. Bosch, Victor DeGruttola.
  Statistics in Medicine, 39(15), 2020.
  
• Impact of Changes in Chain Restaurant Calories over Time on Obesity Risk. [paper]
  Sara N. Bleich, Jesse C. Jones-Smith, Marian P. Jarlenski, Julia A. Wolfson, Johannah M. Frelier, Huiru Tao, Yuchen Hu, Anna Zink, Caroline G. Dunn, Mark J. Soto, Bradley J. Herring.
  Journal of General Internal Medicine, 35(6), 2020.

Talks

Upcoming

• American Causal Inference Conference, Seattle, WA, May 2024.

Past

• The 14th POMS-HK International Conference, HKUST, Hong Kong SAR, January 2024.
• IMS Young Mathematical Scientist Forum, NUS, Singapore, November 2023.
• Stanford Causal Science Center Conference, Stanford, CA, November 2023.
• Metrics Lunch, Stanford University, Stanford, CA, November 2023.
• INFORMS Annual Meeting, Phoenix, AZ, October 2023.
• Joint Statistical Meetings, Toronto, Canada, August 2023.
• Experimentation and Causal Inference in the Tech Sector, Stanford, CA, June 2023.
• American Causal Inference Conference, Austin, TX, May 2023.
• Data Driven Research Group, Stanford University, Stanford, CA, May 2023.
• Stanford Data Science Conference, Stanford, CA, May 2023.
• Data Driven Research Group, Stanford University, Stanford, CA, October 2022.
• Joint Statistical Meetings, Washington, DC, August 2022.
• American Causal Inference Conference, Berkeley, CA, May 2022.
• Causal Inference Group, Stanford University, Stanford, CA, March 2022.

Teaching

• ECON293/MGTECON634 Machine Learning and Causal Inference, Teaching assistant, Spring 2020-2023.
• MS&E226 Fundamentals of Data Science, Teaching assistant, Autumn 2021-2022.
• BST224 Survival Methods in Clinical Research, Teaching assistant, Summer 2018-2019.