• Safe Policy Learning through Extrapolation
    • Xiamen University, Nov 2022
    • Pacific Causal Inference Conference, virtual conference, Sep 2022

  • Statistical inference and power analysis for direct and spillover effects in two-stage randomized experiments
    • Joint Statistical Meetings, virtual conference, invited, Aug 2021

  • Experimental evaluation of computer-assisted human decision making
    • Joint Statistical Meetings, Aug 2022
    • BIRS workshop, May 2022
    • School of Mathematical Sciences, Xiamen University, April 2022
    • Southwestern University of Finance and Economics, March 2022
    • IMS Workshop: Causal Inference with Big Data, Dec 2021
    • Department of Biostatistics, Peking University, Nov 2021
    • Department of Statistics, University of Illinois Urbana-Champaign, Nov 2021
    • ICSA Applied Statistics Symposium, virtual conference, Sep 2021
    • Pacific Causal Inference Conference, virtual conference, Sep 2020

  • Causal inference with interference and noncompliance in the two-stage randomized experiments
    • Applied Statistics Workshop, Harvard University, Nov 2018
    • Joint Statistical Meetings, Vancouver, Canada, Aug 2018
    • Peking University, Beijing, China, Jul 2018
    • Atlantic Causal Inference Conference, Pittsburgh, PA, May 2018

  • Using missing types to improve partial identification with missing binary outcomes
    • NESS, Hartford, CT, May 2019
    • ENAR, Philadelphia, PA, Mar 2019
    • EcoSta, HongKong, Jun 2018

  • Measurement errors in the binary instrumental variable model
    • EcoSta, Taichung, Jun 2019

  • Principal surrogate evaluation using multiple trials
    • Joint Statistical Meetings, virtual conference, topic-contributed, Aug 2020
    • Department of Mathematics and Statistics, University of Massachusetts Amherst, Nov 2019