2 new principal investigators to add to lab's machine-learning expertise

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This year CSAIL welcomes new principal investigators Tamara Broderick and Stefanie Jegelka, who have both joined MIT’s Department of Electrical Engineering and Computer Science (EECS) as assistant professors.

Broderick and Jegelka were both most recently at the University of California, Berkeley, where they worked at the AMPLab with Michael I. Jordan as a PhD candidate and a postdoc, respectively. Jegelka also worked closely with the computer vision group at Berkeley.

Last year Broderick was awarded the Evelyn Fix Memorial Medal and Citation, for the Berkeley PhD who has shown the greatest promise in statistical research. Her latest research focuses on developing and analyzing models for scalable, unsupervised machine learning using Bayesian nonparametrics.

Jegelka received her PhD at the Max Planck Institutes for Intelligent Systems in Germany and ETH Zurich. Most recently, her research revolves around designing models and efficient algorithms for machine learning problems with discrete and combinatorial structure. She has also applied her techniques to problems in computer vision.

“We are very excited to have these two exceptional researchers as part of the CSAIL community,” said CSAIL Director Daniela Rus, who also serves as the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science.  “They have proven themselves to be dedicated scholars and passionate educators. We look forward to seeing all the ways in which their research in machine learning will make a difference at CSAIL, in computer science, and beyond.”

Read more at MIT News: http://bit.ly/1zbb1RG