Talks, Posters, Research Stays, and Organizing

 

  • Co-host of the Online Causal Inference Seminar, meeting every Tuesday, 08:30 AM PT.
  • January 2023, Bellairs Workshop on Causality @ Bellairs Research Institute of McGill University in Barbados, Invited Participant/Speaker
  • September 2022, @ Pacific Causal Inference Conference, Invited Speaker 
  • June 11, 2022, @ First International Workshop on Interactive Causal Learning in Washington DC, Invited talk on “Total causal effects in MPDAGs: Identification and  minimal enumeration“
  • April 11, 2022, @ Biostatistics Seminar at UC Berkeley, Invited talk on “Total causal effects in MPDAGs: Identification and  minimal enumeration“
  • April 7, 2022, @ Biostatistics Seminar at the University of Washington, Invited talk on “Efficient Least Squares For Estimating Total Effects Under Linearity And Causal Sufficiency“
  • January – March 2022 @ Simons Institute Program on Causality at Berkeley, Invited long-term visitor.
  • February 23, 2022, @ Causal Working Group at UC Berkeley, Richard Guo is presenting our work on “Variable elimination and graph reduction: towards an efficient g-formula”
  • February 17, 2022, @ Learning from Interventions Workshop, Simons Institute, UC Berkeley, Invited talk on “Efficient Least Squares For Estimating Total Effects Under Linearity And Causal Sufficiency” (slides)
  • February 16, 2022, @ CSSS Seminar at the University of Washington (slides),  Invited talk on “Total causal effects in MPDAGs: Identification and estimation“
  • February 1, 2022, @ Simons Institute: Causality Speaker Series at UC Berkeley (slides), Invited talk on “Total causal effects in MPDAGs: Identification and minimal enumeration“
  • December 2021 @ CMStatistics, London, Richard Guo is presenting our work on “Variable elimination and graph reduction: towards an efficient g-formula“, joint work with F. Richard Guo and Andrea Rotnitzky. 
  • July 2021 @  UAI 2021, “Advances in Causal Inference” Workshop, Main Organizer and Chair.
  • July 2021 @  Online Causal Inference Seminar (OCIS), Joined OCIS moderating and organizing team.
  • June 2021 @  ISI World Statistics Congress, “Minimal Enumeration of Causal Effects in MPDAGs”, Session: Graphical Causal Models, Invited speaker.
  • April 2021 @ AISTATS 2021, “Minimal Enumeration of Causal Effects in MPDAGs” joint work with F. Richard Guo, Poster Presentation.
  • April 2021 @ Online Causal Inference Seminar, Discussant for “Optimal adjustment sets in non-parametric graphical models” by Andrea Rotnitzky, Invited discussant (video, slides)
  • April 2021 @ Joint colloquium of the Departments of Statistic of UW and UC Berkeley, “Minimal Enumeration of Causal Effects in MPDAGs”, Invited speaker.

  • March 2021 @ UW Statistics, “Causal Identification and Enumeration in a Markov Equivalence Class”, Visit Day presentation.

  • December 17th, 2020 @ SER Annual Meeting in Boston, “Graphical Criteria for Efficient Total Effect Estimation in Causal Linear Models”, Invited speaker, slides.
  • November 20th, 2020 @ UW Machine Learning Retreat, “Minimal Enumeration and Efficient Estimation of Causal Effects in MPDAGs” Invited speaker, slides, Joint talk with F. Richard Guo!
  • September 29th, 2020 @ Online Causal Inference Seminar, “Causal effects in MPDAGs: Identification and efficient estimation” Invited Speaker, with panelist F. Richard Guo and discussant Thomas Richardson. (video)
  • September 27th, 2020 @ (Online) Pacific Causal Inference Conference, “Efficient Least Squares for Estimating Total Causal Effects ” Invited Speaker, Joint talk with F. Richard Guo!
  • August 4th, 2020 @ Uncertainty in Artificial Intelligence, Virtual Conference,  “Identifying causal effect in maximally oriented partially directed acyclic graphs“, Talk and Poster, Session Chair.
  • July 30-31, 2020 @ CIFAR Virtual workshop on “Learning in Machines and Brains Virtual Meeting on Causal Inference”, Invited speaker/guest
  • February 4th, 2020 @ University of Wisconsin-Madison, Invited talk on “Identifying Causal Effects from Observational Data” 

  • January 14th, 2020 @ University of Washington, Invited talk on “Identifying Causal Effects from Observational data“

  • November 22nd, 2019 @ Causal Working Group, UW Statistics,  “Identifying Causal Effects in CPDAGs and CPDAGs with Background Knowledge“

  • September 20th, 2019 @ The University of Washington in Seattle, WA I will be giving an introductory talk on my research aimed at Graduate students in Statistics/Biostatistics.
  • May 2019 @ Oberwolfach Workshop on “Foundations and New Horizons for Causal Inference” in Oberwolfach, Germany:
    “Graphical criteria for efficient total effect estimation in causal linear models”
  • January 2019 @  The University of Washington in Seattle, WA: Statistics Seminar, “Graphical Characterizations of Adjustment Sets“
  • December 2018 @ CMStatistics 2018 in Pisa, Italy: “Identifiability of causal effects from observational data”, Invited Talk.
  • August 2017 @ UAI 2017 in Sydney, Australia: “Interpreting and Using CPDAGs with Background Knowledge”, Plenary Talk and Poster.
  • August 2017 @ UAI Causation Workshop 2017 in Sydney, Australia: “Interpreting and Using CPDAGs with Background Knowledge”,Invited Talk and Poster.
  • July 2017 @ European Meeting of Statisticians 2017, Helsinki, Finland: “Using background knowledge for the estimation of total causal effects”, Invited Talk.
  • April 2017 @ SEMSTAT Statistical Network Science Workshop in Eindhoven, Netherlands: “Characterizing and Constructing Adjustment Sets“, Poster Presentation, Best Poster Award.
  • December 2016 @ CMStatistics 2016 “Characterizing and Constructing Adjustment Sets”, Invited Talk.
  • Summer 2016 @ CRM at the University of Montreal, in Montreal, Canada: Visiting Researcher at the “Research Program on Causal Inference and Applications to Genetics“.
  • July 2016 @ Statistical Causal Inference and Application to Genetics Workshop, University of Montreal in Montreal, Canada: “Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs“, Invited Talk and Poster Presentation.
  • May 2016 @ UK Causal Inference Meetings 2016 in London, UK: “A Complete Generalized Adjustment Criterion“, Poster Presentation.
  • July 2015 @ UAI 2015 in Amsterdam, Netherlands: “A Complete Generalized Adjustment Criterion“, Poster Presentation.
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