Congratulations to Dr. Tamara Broderick for being promoted to associate professor, effective July 1, 2019. Her research focuses on machine learning; specifically, Bayesian nonparametric models. She has made many significant and foundational contributions, including a principled approach for constructing coresets with theoretical guarantees combined with a practical algorithm that dramatically reduce the loss, which is already widely used. She also introduced an automatic local sensitivity quantification to prior and likelihood for variational Bayes, which also provide extremely accurate variance estimates compared to the state of the art.
Dr. Broderick received her PhD from UC Berkeley in 2014 and joined the MIT EECS faculty in late 2014. She has received an NSF CAREER Award, a Sloan Research Fellowship, an Army Research Office Young Investigator Award, a Google Faculty Research Award, an International Society for Bayesian Analysis Lifetime Members Junior Research Award, and a Marshall Scholarship. In addition, she received the Jerome H. Saltzer Award for Excellence in Teaching in recognition of her phenomenal teaching ability. She is also a sought-after lecturer, having given more than 100 invited talks, seminars, and tutorials worldwide during the last two years. Tamara is an affiliate faculty of IDSS.
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