Please join us for the FDS Women’s Career Development Colloquium Series, proudly supported by the Department of Statistics and Data Science (S&DS) and the Yale Institute for Foundations of Data Science (FDS). This series will feature inspiring talks from female Yale alumni and leading professionals in statistics and related fields who will share their career journeys and valuable insights. We encourage active participation—ask questions, engage in discussions, and take full advantage of this enriching opportunity. The series is dedicated to supporting women in statistics and related fields at Yale, providing a platform where female professionals can share their experiences, discuss challenges, and offer guidance to our students.

Speaker Bio: Tal Sarig is a Research Scientist at the Central Applied Science team at Meta, where she focuses on applied machine learning, delayed labels, and concept drift. Her work also includes research and software developments in Survey Statistics and Survey Weighting. Prior to joining Meta, Tal earned her PhD in Statistics and Data Science from Yale University in 2020, under the supervision of Prof. Harry Zhou. She also holds an MSc in Statistics and a BSc in Mathematics and Psychology, both from Tel Aviv University.