Regina Barzilay

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Regina Barzilay
Barzilay 2017 hi-res-download 1.jpg
Born 1970 (age 47–48)
Moldavia
Nationality Israeli
Alma mater
Awards
Website
Scientific career
Fields Computer science, Natural language processing
Institutions
Thesis Information Fusion for Multidocument. Summarization: Paraphrasing and Generation (2003)
Doctoral advisor Kathleen McKeown[4]

Regina Barzilay (born 1970) is a professor at the Massachusetts Institute of Technology and a member of MIT Computer Science and Artificial Intelligence Laboratory. Her research interests are in natural language processing and applications of deep learning to chemistry and oncology.

Biography[edit]

Barzilay received her MS and BS from Ben-Gurion University of the Negev. She obtained her Ph.D. in Computer Science from Columbia University under Kathleen McKeown and spent a year as a postdoc at Cornell University.[5] She was appointed as Delta Electronics Professor of Electrical Engineering and Computer Science at MIT in 2016.[6] She was diagnosed with breast cancer in 2014, which prompted her to conduct research in oncology.[7] Barzilay won the MacArthur Fellowship in 2017.[8]

Work[edit]

For her doctoral dissertation at Columbia University, she led the development of Newsblaster, which recognized stories from different news sources as being about the same basic subject, and then paraphrased elements from the stories to create a summary.[9]

In computational linguistics, Barzilay created algorithms that learned annotations from common languages (i.e. English) to analyze less understood languages.

Prompted by her experience with breast cancer, Barzilay is applying machine learning to oncology. She is collaborating with physicians and students to devise deep learning models that utilize images, text, and structured data to identify trends that affect early diagnosis, treatment, and disease prevention.[10]

Awards[edit]

In 2017, Barzilay won the MacArthur Fellowship, known as the "Genius Grant," for "developing machine learning methods that enable computers to process and analyze vast amounts of human language data."[8][11] She is also a recipient of various awards including the NSF Career Award, the MIT Technology Review TR-35 Award, Microsoft Faculty Fellowship and several Best Paper Awards at NAACL and ACL.[11] Her teaching has also been recognized by MIT as she won the Jamieson Teaching Award in 2016.[11]

References[edit]

External links[edit]