Join the 6th Learning Theory Alliance Mentorship Workshop

The 6th Learning Theory Alliance Mentorship Workshop is a free, fully virtual event for upper-level undergraduate and graduate students, as well as postdoctoral researchers interested in theoretical computer science and machine learning. No prior research experience is expected, and some sessions may be of interest to researchers in adjacent fields. The workshop will feature talks on how to be a good collaborator, how to do theory research, a panel discussion on time management, and a social hour with mentoring tables. The lineup includes Shuchi Chawla, Adam Groce, Zhiyi Huang, Varun Kanade, Po-Ling Loh, Audra McMillan, Ankur Moitra, Devi Parikh, Aaditya Ramdas, and Steven Wu. To participate, fill out a short application form by Tuesday, May 28, 2024. Students with backgrounds that are underrepresented or underserved in related fields are especially encouraged to apply. The workshop is part of the Learning Theory Alliance community-building initiative. For more details, visit https://let-all.com/spring24.html.