• Diagnosing the Role of Observable Distribution Shift in Scientific Replications

  • IMS International Conference on Statistics and Data Science (ICSDS), December 2023
  • Stanford-Berkeley Joint Colloquium Student Seminar, October 2023
  • Causality in Practice Conference (Thematic Quarter on Causality), June 2023

• Model-Free Selective Inference: From Calibrated Uncertainty to Trusted Decisions

  • MLBoost Online Seminar, January 2024
  • Rising Stars in Data Science Workshop, University of Chicago, November 2023
  • Genentech, September 2023
  • Joint Statistical Meetings, August 2023
  • Joint Conference on Statistics and Data Science in China, June 2023  
  • ICSA China Conference, June 2023
  • INRIA Causal Inference Group, May 2023
  • International Seminar on Selective Inference (ISSI), May 2023   [video] [slides]
  • International Conference on Design of Experiments (ICODOE), May 2023
  • One World Mathematics in Machine Learning Online Seminar, April 2023   [video] [slides]
  • Stanford Statistics Student Seminar, December 2022
  • Stanford Statistics Industrial Affiliates Annual Conference, November 2022

• Policy Learning ‘without’ Overlap: Pessimism and Generalized Empirical Bernstein’s Inequality

  • INFORMS Optimization Society Conference (IOS 2024), March 2024
  • Workshop on Operations Research and Data Science, Duke University, November 2023
  • Reinforcement Learning Theory Online Seminars, May 2023   [video]
  • Data-Driven Decision Making Seminar, Stanford Graduate School of Business, January 2023

• Sensitivity Analysis under the f-Sensitivity Models: A Distributional Robustness Perspective

  • Stanford Causal Science Conference, November 2022
  • Data-Driven Decision Making Seminar, Stanford Graduate School of Business, November 2022
  • ICSA Applied Statistics Symposium (Student Paper Award presentation), June 2022

• Sensitivity Analysis of Individual Treatment Effects: A Robust Conformal Inference Approach

  • UC Berkeley and UCSF Rising Stars Seminar Series (Alaa lab), March 2024.
  • CMStatistics (virtual), December 2022
  • INFORMS Annual Meeting, October 2022
  • Stanford University Causal Inference Group, January 2022

• Towards Optimal Variance Reduction in Online Controlled Experiments

  • Design and Analysis of Experiments Conference, May 2024
  • Doordash Causal Inference and Experimentation Team, May 2023
  • INFORMS Workshop on Data Mining and Decision Analytics, October 2022
  • International Conference on Design of Experiments (ICODOE), May 2022 (cancelled due to Covid)
  • Conference on Digital Experimentation (CODE), November 2021

• One Estimator, Many Estimands: Fine-Grained Quantification of Uncertainty using Conditional Inference

  • Joint Statistical Meetings, August 2021

• Is Pessimism Provably Efficient for Offline RL?

  • Reinforcement Learning Theory Online Seminars, April 2021 [slides]

[*Colored are upcoming talks]