Presentations

Invited Talks

2023

• Applied Statistics Workshop, Department of Government and the Institute for Quantitative Social Science, Harvard University. April, 2023 (Scheduled).

• Institute of Social Science, The University of Tokyo. March, 2023 (Scheduled).

• Political Methodology Colloquium, Department of Political Science, Columbia University. February, 2023 (Scheduled).

• Formal and Quantitative Seminar, Department of Political Science, University of North Carolina at Chapel Hill. February, 2023 (Scheduled).

2022

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

• 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.

Selected Conference Presentations

• "Quantifying Robustness to External Validity Bias."
  Presentation at the 2022 PolMeth (paper), the 2022 APSA (paper), the EGAP workshop on External Validity and Knowledge Accumulation (2022) (paper).

• "Identification and Estimation of Causal Peer Effects Using Double Negative Controls for Unmeasured Network Confounding."
  Presentation at the 2021 PolMeth (paper), the 2021 APSA (paper), the 2022 EcoSta (paper), and the 2022 American Causal Inference Conference (paper).

• "Identification of Causal Diffusion Effects Under Structural Stationarity."
  Presentation at the 2019 Atlantic Causal Inference Conference (poster; McGill University, May 22–24, 2019), the 2019 Asian PolMeth (paper; Doshisha University, January 6–7, 2019), the 2018 APSA (paper; Boston, August 30–September 2, 2018), the 2018 PolMeth (poster; Brigham Young University, July 18–21, 2018), the 2017 PolMeth (poster; University of Wisconsin-Madison, July 13–15, 2017).

• "Causal Inference in Policy Diffusion Studies: Sensitivity Analysis for Unmeasured Confounding."
  Presentation at the 2020 APSA (paper) and the 2020 PolMeth (paper).

• "Elements of External Validity: Framework, Design, and Analysis."
  Presentation at the 2020 APSA (paper) and the 2020 PolMeth (paper).

• "Improving the External Validity of Conjoint Analysis: The Essential Role of Profile Distribution."
  Presentation at the 2019 APSA (paper; Washington, DC, August 29 – September 1, 2019), the 2019 PolMeth (paper; MIT, July 18–20, 2019).

• "Using Multiple Pre-treatment Periods to Improve Difference-in-Differences and Staggered Adoption Designs,".
  Presentation at the 2019 APSA (paper; Washington, DC, August 29 – September 1, 2019), the 2019 PolMeth (poster; MIT, July 18–20, 2019).

• "Covariate Selection for Generalizing Experimental Results."
  Presentation at the 2019 PolMeth (poster; MIT, July 18–20, 2019), the 2018 MPSA (paper; Chicago, April 8, 2018).

• "Spillover Effects in the Presence of Unobserved Networks."
  Presentation at the 2018 Atlantic Causal Inference Conference (paper; Carnegie Mellon University, May 22, 2018), the 2018 MPSA (paper; Chicago, April 7, 2018), the 2016 PolMeth (poster; University of Rochester, July 22, 2016).

• "Causal Interaction in Factorial Experiments: Application to Conjoint Analysis."
  Presentation at the 2017 APSA (paper; San Francisco, August 31 - September 3, 2017), NYU CESS 10th Annual Experimental Political Science Conference (paper; February 24, 2017), the 2015 PolMeth (paper; University of Rochester, July 23, 2015).