Talks
- Act or Defer: Error-Controlled Decision Policies for Medical Foundation Models
- Bioinformatics Research Seminar Series, Western University, May 2026
- Cross-Balancing for Data-Informed Design and Efficient Analysis of Observational Studies
- Pacific Causal Inference Conference (PCIC), July 2026
- Conformal Selective Prediction with General Risk Control
- Department of Statistics and Probability Seminar, Michigan State University, April 2026
- Department of Statistics Seminar, University of Illinois Urbana-Champaign, April 2026
- International Chinese Statistical Association (ICSA) Applied Statistics Symposium, June 2026
- International Chinese Statistical Association (ICSA) China Conference, June 2026
- Joint Conference on Statistics and Data Science (JCSDS), July 2026
- Conformal Selection: Distribution-Free Selection of Trusted AI Predictions
- Biostatistics/Bioinformatics Seminar, University of Maryland, December 2025
- Join Statistical Meetings (IMS Lawrence D. Brown PhD Student Award session), August 2025
- Statistics Seminar, Shanghai University of Finance and Economics, July 2025
- Statistics Seminar, Fudan University, July 2025
- Statistics Seminar, East China Normal University, July 2025
- Statistics Seminar, Shanghai Jiao Tong University, July 2025
- Institute for Interdisciplinary Information Sciences (IIIS) Seminar, Tsinghua University, July 2025
- POPPER: Automated Hypothesis Validation with Agentic Sequential Falsifications
- Summer Program on Large Language Models for Social Science, Columbia University, May-June 2026
- IMSI workshop on Reinforcement Learning from Offline Data and Human Feedback, April 2026
- International Conference on Econometrics and Statistics (EcoSta 2025), August 2025
- Online International Seminar on Selective Inference, April 2025
- International Conference on Multiple Comparison Procedures (MCP), August 2025
- International Conference on Statistics and Data Science (ICSDS), December 2025
- Beyond Reweighting: on the Predictive Role of Covariate Shift in Effect Generalization
- Summer Institute in Computational Social Science, University of Pennsylvania, May 2026
- Workshop on External Validity in the Social Sciences, Yale University, May 2026
- Causality and Machine Learning Workshop, Tsinghua University, January 2026
- Joint Conference on Statistics and Data Science, China, July 2025
- 2025 WNAR/IMS Annual Meeting, June 2025
- Harvard Applied Statistics Workshop, September 2024
- Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees
- International Joint Conference CFE-CMStatistics, December 2025
- Join Statistical Meetings (Uncertainty Quantification for Large Language Models), August 2025
- ENAR Annual Meeting, March 2025
- IMSI Long Program on Uncertainty Quantification and Artifical Intelligence, March 2025
- International Conference on Statistics and Data Science (ICSDS), December 2024
- ASA Conference on Statistical Learning and Data Science, November 2024
- Data Science and Engineering Lab, Michigan State Universty, October 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
- 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]
