Presentations

Invited Talks

2026

• Joint Statistical Meeting, August, 2026 (scheduled)

• The Institute for Mathematical and Statistical Innovation workshop, June, 2026 (scheduled)

• University of Tokyo, June, 2026 (scheduled)

• Online Causal Inference Seminar, May, 2026 (scheduled)

• External Validity Workshop, Department of Political Science, Yale University, May, 2026 (scheduled)

• "Conformal Policy Learning with Distribution-Free Safety Guarantees:Application to AI-Powered Interventions."
  Department of Government, Harvard University, April, 2026

• "Conformal Policy Learning with Distribution-Free Safety Guarantees:Application to AI-Powered Interventions."
  Department of Economics, Yale University, April, 2026

• "Using Large Language Model Annotations for the Social Sciences: A General Framework of Using Predicted Variables in Statistical Analyses."
  Department of Political Science, Yale University, April, 2026

• "Designing Multi-Site Studies for External Validity: Site Selection via Synthetic Purposive Sampling."
  Rutgers University, April, 2026

• "Designing Multi-Site Studies for External Validity: Site Selection via Synthetic Purposive Sampling."
  National University of Singapore, January, 2026

2025

• "Using Large Language Model Annotations for the Social Sciences: A General Framework of Using Predicted Variables in Statistical Analyses."
  The Fletcher School at Tufts University, October, 2025

• "Using Large Language Model Annotations for the Social Sciences: A General Framework of Using Predicted Variables in Statistical Analyses."
  Causal Inference Seminar, Waseda University, August, 2025

• "Designing Multi-Site Studies for External Validity: Site Selection via Synthetic Purposive Sampling."
  Columbia Data Science Institute, April, 2025

• "Designing Multi-Site Studies for External Validity: Site Selection via Synthetic Purposive Sampling."
  Columbia Marketing Seminar, Columbia Business School, February, 2025

2024

• "Using Large Language Model Annotations for the Social Sciences: A General Framework of Using Predicted Variables in Statistical Analyses."
  Speaker Series``AI-Assisted Data Analysis for the Study of Politics and Governance'', Department of Political Science, The Ohio State University, October, 2024.
• "Using Large Language Model Annotations for the Social Sciences: A General Framework of Using Predicted Variables in Statistical Analyses."
  An Invited Speaker at the 6th Workshop on Natural Language Processing and Computational Social Science. June, 2024.
• "Using Large Language Model Annotations for the Social Sciences: A General Framework of Using Predicted Variables in Statistical Analyses."
  An Invited Session on "Statistical innovations in causal inference with text as data", American Causal Inference Conference. May, 2024.

2023

• "Designing Multi-Site Studies for External Validity: Site Selection via Synthetic Purposive Sampling."
  Special Seminar, The Center for Positive/Empirical Analysis of Political Economy, Waseda University, Japan. December, 2023.

• "Designing Multi-Site Studies for External Validity: Site Selection via Synthetic Purposive Sampling."
  Special Seminar, Institute of Social Science, University of Tokyo, Japan. December, 2023.

• "Empirical Strategies Toward External Validity."
  Talk about my research agenda on External Validity, including "Elements of External Validity", "External Robustness" and more.
  Political Methodology Speaker Series, Department of Political Science, MIT. May, 2023.

• "Empirical Strategies Toward External Validity."
  Talk about my research agenda on External Validity, including "Elements of External Validity", "External Robustness" and more.
  Applied Statistics Workshop, Department of Government and the Institute for Quantitative Social Science, Harvard University. April, 2023.

• "How to Make Causal Inferences Using Texts."
  Institute of Social Science, The University of Tokyo. March, 2023.

• "Empirical Strategies Toward External Validity."
  Talk about my research agenda on External Validity, including "Elements of External Validity", "External Robustness" and more.
  Political Methodology Colloquium, Department of Political Science, Columbia University. February, 2023.

• "Empirical Strategies Toward External Validity."
  Talk about my research agenda on External Validity, including "Elements of External Validity", "External Robustness" and more.
  Formal and Quantitative Seminar, Department of Political Science, University of North Carolina at Chapel Hill. February, 2023.

2022

• An Invited Session on "Causal Inference in Network Settings", CMStatistics. December, 2022.

• "Empirical Strategies Toward External Validity."
  Talk about my research agenda on External Validity, including "Elements of External Validity", "External Robustness" and more.
  Quantitative Methods Seminar, Quantitative Methods in the Social Sciences Program, Columbia University. October, 2022.

• An Invited Session on "Robustness and Causality", the INFORMS Annual Meeting. October, 2022.

• "Quantifying Robustness to External Validity Bias."
  Political Science Guest Speaker Workshop, Department of Political Science, Stanford University. April, 2022.

• "Identification and Estimation of Causal Peer Effects Using Double Negative Controls for Unmeasured Network Confounding."
  Econometrics Workshop, Department of Economics, Columbia University. March, 2022.

• "Identification and Estimation of Causal Peer Effects Using Double Negative Controls for Unmeasured Network Confounding."
  Quantitative Research Methods Workshop, Department of Political Science, Yale University. February, 2022.

• "Identification and Estimation of Causal Peer Effects Using Double Negative Controls for Unmeasured Network Confounding."
  The International Methods Colloquium (URL). February, 2022. Video.

2021

• "Identification and Estimation of Causal Peer Effects Using Double Negative Controls for Unmeasured Network Confounding."
  Quantitative Methods Seminar, Wilf Family Department of Politics, New York University. October, 2021.

• "Identification and Estimation of Causal Peer Effects Using Double Negative Controls for Unmeasured Network Confounding."
  Political Methodology Colloquium, Department of Political Science, Columbia University. October, 2021.

• "Identification and Estimation of Causal Peer Effects Using Double Negative Controls for Unmeasured Network Confounding."
  Center for Causal Inference, University of Pennsylvania. September, 2021.

• Invited Lecture at the Institute for Political Methodology, Academia Sinica, Taiwan. July, 2021 (Postponed).

• "Identification and Estimation of Causal Peer Effects Using Double Negative Controls for Unmeasured Network Confounding."
  Department of Statistics, University of California, Berkeley. Causal Inference Research Group. April, 2021.

• "Identification and Estimation of Causal Peer Effects Using Double Negative Controls for Unmeasured Network Confounding."
  Department of Biostatistics, Columbia University, Mailman School of Public Health. March, 2021.

2020

• "Elements of External Validity: Framework, Design, and Analysis."
  University of California, Berkeley. Research Workshop in American Politics, Department of Political Science. November 4, 2020.

• "Elements of External Validity: Framework, Design, and Analysis."
  Guest Lecture at Stanford University, Department of Political Science. October 15, 2020.

• "Identification of Causal Diffusion Effects Under Structural Stationarity." (postponed).
  Summer Institutes in Computational Social Science, Tokyo, July, 2020.

• "Identification of Causal Diffusion Effects Under Structural Stationarity."
  Joint Statistical Meetings, Panel on "Novel identification frameworks for causal inference with interference", 2020.

• "Causal Interaction in Factorial Experiments: Application to Conjoint Analysis." (2020; canceled).
  The 2020 ICSA China Conference. Panel on Factorial Experiments.

• "Identification of Causal Diffusion Effects Under Structural Stationarity." (2020; postponed).
  Department of Biostatistics, Columbia University, Mailman School of Public Health.

~2019

• "Causal Interaction in Factorial Experiments: Application to Conjoint Analysis." (2019).
  CFE-CMStatistics 2019. Panel on Factorial Experiments.

• "Causal Diffusion Analysis: How Hate Crimes Diffuse Across Space." (2019).
  Causal Inference and Data Science Seminar, Waseda University.

• "Causal Diffusion Analysis: How Hate Crimes Diffuse Across Space." (2018).
  Department of Political Science, Columbia University.

• "Causal Diffusion Analysis: How Hate Crimes Diffuse Across Space." (2018).
  Department of Political Science, University of Chicago.

• "Causal Diffusion Analysis: How Hate Crimes Diffuse Across Space." (2018).
  Department of Political Science, The University of North Carolina at Chapel Hill.

• "Causal Diffusion Analysis: How Hate Crimes Diffuse Across Space." (2018).
  Department of Political Science, University of Wisconsin, Madison.

• "Unbiased Estimation and Sensitivity Analysis for Network-Specific Spillover Effects: Application to An Online Network Experiment." (2017).
  Political Methodology Seminar, New York University.

• "Unbiased Estimation and Sensitivity Analysis for Network-Specific Spillover Effects: Application to An Online Network Experiment." (2017).
  Causal Inference Group, Yale University.