Talks
Videos
Causal Alternatives to Meta-Analysis (My discussion starts at 47:00)
Online Causal Inference Seminar, Jun 2025 [Video]
Multiply Robust Federated Estimation of Targeted Average Treatment Effects
NeurIPS, Dec 2023 [Video]
Promises and Perils of Multiply Robust Federated and Transfer Learning to Estimate Causal Effects
Harvard University Institute for Quantitative Social Sciences, Applied Statistics Workshop, Sep 2023 [Video]
Challenges of Surrogate Markers in Real-World Data
Banff International Research Station, Aug 2022 [Video]
Presentations
[2025]
Jul 16, 2025. [Talk at ICML 2025] Vancouver, Canada.
I will present our work “Bridging Fairness and Efficiency in Conformal Inference: A Surrogate-Assisted Group-Clustered Approach”.
Jul 14, 2025. [Invited talk at Fred Hutch Cancer Center, Deep Learning Affinity Group Seminar Series] Seattle, WA.
I will present “Bridging Fairness and Efficiency in Conformal Inference: A Surrogate-Assisted Group-Clustered Approach”.
Jun 17, 2025. [Discussant at the Online Causal Inference Seminar (OCIS)] Virtual.
I will discuss Julie Josse’s talk “Causal Alternatives to Meta-Analysis”. [Julie’s slides]. [My slides]. [Video].
Jun 16, 2025. [Invited talk at ICSA Applied Statistics Symposium 2025] Storrs, CT.
I will present Targeted Data Fusion for Causal Survival Analysis Under Distribution Shift.
Jun 4, 2025. [Invited talk at Pusan National University Hospital] Pusan, South Korea.
I will present Targeted Data Fusion for Causal Survival Analysis Under Distribution Shift.
May 29, 2025. [Oral at ASA LiDS 2025] Brooklyn, NY.
I will present Targeted Data Fusion for Causal Survival Analysis Under Distribution Shift at ASA Lifetime Data Science 2025.
May 14, 2025. [Oral at ACIC 2025] Detroit, MI.
I will present On the Role of Surrogates in Conformal Inference of Individual Causal Effects at ACIC 2025.
May 5, 2025. [Methods Workshop at the Brandeis-Harvard SPIRE Center ] Virtual.
Multi-Source Causal Inference Leveraging Transfer Learning.
May 1, 2025. [Talk at the UPenn Center for Causal Inference seminar] Virtual.
Targeted Data Fusion for Causal Survival Analysis Under Distribution Shift.
Apr 10, 2025. [Discussant at the Harvard Data Science Initiative Causal Seminar] Boston, MA.
Elias Bareinboim’s talk “Towards Causal Artificial Intelligence”.
Apr 4, 2025. [Invited talk at the Department of Management Science and Statistics at the University of Texas at San Antonio] Virtual.
On the Role of Surrogates in Conformal Inference of Individual Causal Effects
[2024]
Dec 17, 2024. [Invited talk at the International Conference on Statistics and Data Science (ICSDS)] Nice, France.
On the Role of Surrogates in Conformal Inference of Individual Causal Effects
Nov 21, 2024. [Talk at the UPenn Center for Causal Inference] Virtual.
On the Role of Surrogates in Conformal Inference of Individual Causal Effects
Nov 13, 2024. [Invited talk at the Duan Lab in the Department of Biostatistics at Harvard University] Boston, MA.
On the Role of Surrogates in Conformal Inference of Individual Causal Effects
Nov 7-8, 2024. [Invited talk at the Forum on the Integration of Observational and Randomized Data (FIORD)] Bethesda, MD.
Federated Causal Survival Analysis
Sep 10, 2024. [Invited talk at the Department of Biostatistics at NYU Langone] NYC, New York.
Multi-Source Conformal Inference Under Distribution Shift
Aug 5-8, 2024. [JSM 2024] I will present in the session New methods for integrative and adaptive analysis in Portland, OR.
Jul 24-26, 2024. [ICML 2024] I will present Multi-Source Conformal Inference Under Distribution Shift in Vienna, Austria.
Jul 18, 2024. [WebENAR: Van Ryzin Award Highlights] Identifying Surrogate Markers in Real-world Comparative Effectiveness Research.
Jul 8-10, 2024. [Invited session organizer and speaker at the International Conference on Frontiers of Data Science] Hangzhou, China.
Multi-Source Conformal Inference Under Distribution Shift
Jul 4-7, 2024. [Invited talk at the National Committee on U.S.-China Relations - Schwarzman Scholars Global Health Seminar] Geneva, Switzerland.
Jun 24, 2024. [Invited talk at the Department of Health Care Policy at Harvard Medical School] Boston, MA.
Transfer Learning for Provider Profiling.
May 14-17, 2024. [Oral at ACIC 2024] Seattle, WA.
Multi-Source Conformal Inference Under Distribution Shift
Mar 20, 2024. [Invited talk at Northeastern University, Center for Signal Processing, Imaging, Reasoning, and Learning] Boston, MA.
Multi-Source Conformal Inference Under Distribution Shift
Feb 12, 2024. [Invited talk at INRIA Causal Inference and Missing Data Group] Paris, France (Virtual).
Multiply Robust Federated Estimation of Targeted Average Treatment Effects
[2023]
Dec 13, 2023. [NeurIPS 2023] New Orleans, LA.
Multiply Robust Federated Estimation of Targeted Average Treatment Effects
Dec 12, 2023. [Invited talk at Peking University School of Economics and Institute for Global Health and Development] Beijing, China (Virtual).
Multiply Robust Federated Estimation of Targeted Average Treatment Effects
Dec 4, 2023. [Invited talk at Cytel Inc.] Cambridge, MA.
Robust and Optimal Sensitivity Analysis (ROSA) for Clinical Trial Designs
Nov 6, 2023. [Invited talk at the Forum on the Integration of Observational and Randomized Data] Washington, DC.
Applications in Data Integration for Real World Evidence.
Oct 15, 2023. [Invited talk at INFORMS] Phoenix, AZ.
Federated and Transfer Learning to Estimate Causal Effects of Underrepresented Populations.
Oct 13, 2023. [Invited talk at Boston Pharmaceutical Symposium] Boston, MA.
Sensitivity Analysis of Clinical Trial Designs.
Sep 20, 2023. [Invited talk at Applied Statistics Workshop, Harvard Institute for Quantitative Social Science] Cambridge, MA.
Promises and Perils of Multiply Robust Federated and Transfer Learning to Estimate Causal Effects.
Aug 8, 2023. [Invited talk at JSM] Toronto, CN.
Federated and Transfer Learning to Estimate Causal Effects of Underrepresented Populations.
Aug 7, 2023. [Invited talk at JSM] Toronto, CN.
Privacy-Preserving, Communication-Efficient, and Target-Flexible Hospital Quality Measurement.
Winner of the ASA Health Policy Statistics Section Student Paper Award.
May 1, 2023. [Successful Ph.D. Dissertation Defense!] Boston, MA.
On Causal Inference in Real World Settings.
Thank you to my committee, including Tianxi Cai, Lorenzo Trippa, Rui Duan, and Sebastian Schneeweiss.
Mar 19, 2023. [Talk at ENAR] Nashville, TN.
Federated and Transfer Learning Approaches for Causal Inference.