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
- 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
- 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]
