Service & Teaching

Workshops and Sessions

Organized Invited Session at Institute of Mathematical Sciences Meeting 2022 on Inference Methods for Adaptively Collected Data. The speakers were Nathan Kallus, Koulik Khamaru, Evan Munro, and myself. Joseph Jay Williams and Nina Deliu chaired the session.
Assisted in Organizing the Harvard Radcliffe 2022 Seminar on Ethical Considerations in the Use of Big Data, AI, and Real-Time Information for Prediction of Behavioral Health Outcomes, which was led by Jordan Smoller and Matthew Nock.
Co-Organized NeurIPS 2021 Workshop on Causal Inference Challenges in Sequential Decision Making: Bridging Theory and Practice with with Aurelien Bibaut, Maria Dimakopoulou, Nathan Kallus, Xinkun Nie, and Masatoshi Uehara.
Co-Organized NeurIPS 2020 Workshop on Machine Learning for Mobile Health with Walter Dempsey, Nick Foti, Joseph Futoma, Yian Ma, Marianne Njifon, and Jieru Shi.

Lecturer, Oxford and Imperial CDT 2023 Summer School. Summer school three-day course on Causality, Reinforcement Learning and Statistical Learning, co-taught with Raaz Dwivedi and Susan Murphy. Course materials. (Summer 2023)
Guest Lecturer, Harvard University. Susan Murphy's course on Sequential Decision Making, STAT 234. (Spring 2022)
Teaching Fellow, Harvard University. Susan Murphy's course on Sequential Decision Making, STAT 234. (Spring 2021)
Grader, New York University. Sam Bowman and Kyunghyun Cho's course on Natural Language Processing with Representation Learning, DS-GA 1011. (Fall 2017)