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Mentoring Panel: Doina Precup, Deborah Raji, Anima Anandkumar, Angjoo Kanazawa and Sinead Williamson (moderator).
Doina Precup · Inioluwa Raji · Angjoo Kanazawa · Sinead A Williamson · Animashree Anandkumar
Author Information
Doina Precup (McGill University / DeepMind)
Inioluwa Raji (University of California, Berkeley)
Angjoo Kanazawa (UC Berkeley, Google Research)
Sinead A Williamson (University of Texas at Austin)

Sinead Williamson is a Machine Learning Researcher at Apple and an Associate Professor of Statistics at the University of Texas at Austin. She works primarily on Bayesian methods for machine learning, with particular interests in Bayesian nonparametrics, scalable sampling methods, and modeling structured data with complex dependency structures. She has served as Diversity and Inclusion chair for AISTATS, Newcomer’s Chair for ICML, chair of the ISBA program committee, and as a member of the Board of Directors of Women in Machine Learning.
Animashree Anandkumar (Caltech)
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