Dear Friends, please share broadly the announcement of the workshop on "Statistical Physics & Machine Learning Back Together Again" in Cargese 31.7.-12.8. 2023. A list of confirmed speakers and application form can be found at: cargese2023.github.io (deadline 31st March)

March edition of the IMS Bulletin brings also YoungStatS introduction in a series of interviews with our project collaborators; and an interview with Pragya Sur, President of the IMS New Researchers Group about our upcoming joint webinar series.

Prof. @Pragya_Sur is a Schmidt Futures International Strategy Forum 2023 Asia Fellow! The fellowship program is designed to build an interdisciplinary network of rising leaders and to strengthen democratic values, collaboration, and security as tech innovation reshapes our world.

Spent two wonderful days at the Statistical Machine Learning Symposium Columbia University , meeting fantastic folks and learning so much. Thanks for the invite organizers!

Excited to present our work on high-dimensional causal inference (arxiv.org/pdf/2205.10198…) at the Harvard/MIT econometrics seminar tomorrow (economics.harvard.edu/event/seminar-…) and meeting old and new econometrician friends.

Spent a fantastic time at the Simons Institute for the Theory of Computing workshop on multi-group fairness and the power of statistical thinking in this space. Thanks to organizers for putting together a wonderful line up of talks.

Honored to be part of both ventures, thanks so much for covering the story Harvard Statistics Department