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Tamara Broderick receives prestigious Army Research Office award

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   Professor Tamara Broderick

 

Tamara Broderick, ITT Career Development Assistant Professor in EECS, has received a Young Investigator Program (YIP) research award from the U.S. Army Research Office (ARO).

The award will support Broderick's research on developing new machine-learning methods that can reliably quantify uncertainty in complex data-analysis problems and that can scale to modern, large data sets.

YIP awards are offered to young professors at U.S. universities and colleges who have held their graduate degrees (PhDs or the equivalent) for fewer than five years at the time of application.

“YIP awards are one of the most prestigious honors bestowed by the Army on outstanding scientists beginning their independent careers,” according to the ARO. “The objective of the YIP is to attract outstanding young university faculty members to pursue fundamental research in areas relevant to the Army, to support their research in these areas, and to encourage their teaching and research careers."

Broderick received a bachelor’s degree in mathematics from Princeton University, masters’ degrees in both mathematics and physics from the University of Cambridge, and a master’s degree in computer science and a PhD in statistics, both from the University of California Berkeley.

Her previous awards include a Google Faculty Research Award, the International Society for Bayesian Analysis (ISBA) Lifetime Members Junior Researcher Award, the ISBA Savage Award (for an outstanding doctoral dissertation in Bayesian theory and methods), the UC Berkeley Evelyn Fix Memorial Medal and Citation, the Berkeley Fellowship, a National Science Foundation Graduate Research Fellowship, a Marshall Scholarship, and the Phi Beta Kappa Prize (awarded to the graduating Princeton senior with the highest academic average).

Date Posted: 

Tuesday, January 23, 2018 - 4:00pm

Labs: 

Card Title Color: 

Black

Card Description: 

The Young Investigator Program (YIP) award will support research on machine learning.

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