Talks


  • Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees
    • ENAR Annual Meeting, March 2025
    • International Conference on Statistics and Data Science, December 2024
    • ASA Conference on Statistical Learning and Data Science, November 2024
    • Joint Conference on Statistics and Data Science, China, July 2024

  • Confidence on the Focal: Conformal Prediction with Selection-Conditional Coverage
    • Hangzhou International Conference on Frontiers of Data Science, China, July 2024

  • Diagnosing the Role of Distribution Shift in Effect Generalization with Scientific Replication Data
    • Harvard Applied Statistics Workshop, September 2024
    • Joint Statistical Meetings, August 2024
    • Inaugural Berkeley-Stanford Workshop on Veridical Data Science (lightning talk), May 2024
    • 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
    • International Conference on Econometrics and Statistics (EcoSta 2024), July 2024
    • 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 Annual Meeting, October 2024
    • Clubear Statistics Organization (Virtual Talk), April 2024
    • 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]