Talks

Selected talks and recorded lectures.

The Reach of Fairness: From Algorithmic Justice to Experimental Design

Center for Information Technology Policy, Princeton University. Feb 2025.

event video

What Really Matters for Fairness in Machine Learning

Simons Institute workshop on Societal Considerations and Applications, Berkeley, CA. Nov 2022.

video

The Disparate Equilibria of Algorithmic Decision Making when Individuals Invest Rationally

ACM FAccT, Barcelona, Spain. Jan 2020.

slides video

Delayed Impact of Fair Machine Learning

Microsoft Research AI Seminar, Redmond, WA. Nov 2018.

video

Selected Talks

  • The Reach of Fairness: From Algorithmic Justice to Experimental Design
    • Center for Information Technology Policy, Princeton University. Feb 18, 2025. event video
  • Minding the actionability gap of predictions in responsible AI: lessons from education
    • TTIC Workshop on Data-Driven Decision Processes: From Theory to Practice, Chicago, IL. Aug 2024.
    • Tucker Holland Seminar, Educational Testing Service, Princeton, NJ. May 2024.
    • Columbia Business School Workshop on Challenges in Operationalizing Responsible AI, New York, NY. Oct 2023.
  • What Really Matters for Fairness in Machine Learning: Delayed Impact and Other Desiderata
    • Simons Institute workshop on Societal Considerations and Applications, Berkeley, CA. Nov 2022. video
    • Joint Statistical Meetings (JSM) Session on Ethics and Trust in Statistical Learning, Toronto, Canada. Aug 2023.
  • Social Dynamics of Machine Learning for Decision Making
  • Reimagining the Machine Learning Life Cycle in Education
    • BAIR/CPAR/BDD seminar, Berkeley, CA. Feb 2022. slides
    • Everyday AI Make-a-thon, with Serena Wang, MIT, Cambridge, MA. Mar 2022.
  • Learning in Decentralized Matching Markets
    • Foundations of Data Science Institute (FODSI) Seminar. May 2021.
    • Beneficial AI Seminar, Center for Human-Compatible AI (CHAI), Berkeley, CA. Jun 2021.
  • The Disparate Equilibria of Algorithmic Decision Making when Individuals Invest Rationally
    • University of Bristol Data Science seminar, Bristol, England. Jan 2021.
    • Center for Human-Compatible AI (CHAI) seminar, Berkeley, CA. Jul 2020.
    • ACM FAccT, Barcelona, Spain. Jan 2020. slides video
  • Competing Bandits in Matching Markets
    • BAIR/CPAR/BDD seminar, Berkeley, CA. Nov 2019.
    • DS102 “Data, Inference, and Decisions” Lecture, Berkeley, CA. Nov 2019. video
    • Third Annual Berkeley-Stanford Econometrics Jamboree. Nov 2019.
    • Simons Institute Program on Online and Matching-Based Market Design, Deep Dive Seminar. Oct 2019.
    • EC 2019 Workshop on Learning in Presence of Strategic Behavior, Phoenix, AZ. Jun 2019. slides
  • The Implicit Fairness Criterion of Unconstrained Learning
  • Delayed Impact of Fair Machine Learning
    • Spring Meeting, Young Center for Interdisciplinary Research, Bielefeld, Germany. Mar 2021.
    • Microsoft Research AI Seminar, Redmond, WA. Nov 2018. video
    • MPI for Software Systems, Saarbrucken, Germany. Oct 2018.
    • MPI for Intelligent Systems, Tuebingen, Germany. Oct 2018.
    • ICML plenary talk, Stockholm, Sweden. Jul 2018. slides video
  • ePCA: High Dimensional Exponential Family PCA
    • John Storey’s group, Princeton, NJ. Apr 2017. slides
    • Program in Applied and Computational Mathematics Certificate Program Oral Presentations, Princeton, NJ. Apr 2017. Best Project