Regina Barzilay

Regina Barzilay
Name	Regina Barzilay
Birth date	1971
Birth place	Minsk, Belarus
Citizenship	United States
Fields	Natural language processing, Machine learning, Artificial intelligence
Workplaces	Massachusetts Institute of Technology, MIT Computer Science and Artificial Intelligence Laboratory, Columbia University
Alma mater	Technion – Israel Institute of Technology, Tel Aviv University, Princeton University
Doctoral advisor	Michael Collins (computer scientist)

Regina Barzilay

Regina Barzilay is a computer scientist specializing in Natural language processing, Machine learning, and applications of Artificial intelligence to health care and drug discovery. She is a professor at the Massachusetts Institute of Technology and a member of the MIT Computer Science and Artificial Intelligence Laboratory. Her work spans deep learning models, sequential prediction, and translational projects connecting computational linguistics with clinical practice.

Early life and education

Barzilay was born in Minsk, then part of the Byelorussian Soviet Socialist Republic, and later emigrated to Israel during a period of significant migration from the Soviet Union. She completed undergraduate and graduate studies at Technion – Israel Institute of Technology and Tel Aviv University before pursuing doctoral research at Princeton University under the supervision of Michael Collins (computer scientist). At Princeton University she engaged with research communities linked to Natural language processing, Statistical learning theory, and early neural methods that were influential across institutions such as Stanford University, Carnegie Mellon University, and University of Toronto.

Career and research

Barzilay joined the faculty of Massachusetts Institute of Technology and affiliated with the MIT Computer Science and Artificial Intelligence Laboratory, collaborating with groups across Harvard Medical School, Broad Institute, and industrial laboratories including Google Research, Microsoft Research, and IBM Research. Her research program integrates frameworks from deep learning and structured prediction to address problems in machine translation, information extraction, and interpretability for clinical models. She has supervised students who went on to roles at Facebook AI Research, OpenAI, DeepMind, Amazon Web Services, and startups in the biotech and healthcare sectors.

Barzilay has contributed to methodological advances in sequence-to-sequence modeling, attention mechanisms connected to work from Bahdanau et al. and architectures related to Transformer (machine learning model). She has published in venues such as Association for Computational Linguistics, NeurIPS, International Conference on Machine Learning, and Journal of the American Medical Association-adjacent translational outlets, often collaborating with clinicians from Massachusetts General Hospital and researchers at the Dana–Farber Cancer Institute.

Major contributions and notable projects

Barzilay's major contributions include innovations in multilingual machine translation, automated text summarization, and extraction of prognostic features from electronic health records and medical imaging. Notable projects include computational oncologic pipelines developed with teams at Massachusetts General Hospital and the Broad Institute that applied natural language representations to predict treatment response in breast cancer and guide chemotherapy decisions. She led interdisciplinary work that combined generative models with chemical synthesis planning, partnering with researchers at MIT Media Lab and companies in the pharmaceutical industry to accelerate drug discovery.

Other high-profile efforts involved interpretable neural models for radiology that linked textual reports from Radiological Society of North America datasets with image features from collaborations with Harvard Medical School radiologists. Barzilay's lab produced open-source toolkits and datasets that influenced subsequent work at organizations such as Apple Inc., Google Health, and startups spun out to commercialize clinical AI products.

Awards and honors

Barzilay's recognitions include election to national academies and awards from professional societies such as the Association for Computing Machinery and the Institute of Electrical and Electronics Engineers. She has received major fellowships and prizes including distinctions from the MacArthur Fellows Program, the AAAI Robert S. Engelmore Memorial Lecture-adjacent honors, and best paper awards at conferences including NeurIPS and Association for Computational Linguistics. Her work has been highlighted by institutions like National Science Foundation and National Institutes of Health grant programs, and she has been named among influential lists produced by publications connected to Nature and Science.

Personal life and advocacy

Beyond research, Barzilay is active in advocacy for increased participation of women and immigrants in computer science and in ethical deployment of artificial intelligence in clinical settings. She participates in panels and advisory boards affiliated with National Institutes of Health, White House Office of Science and Technology Policy, and professional organizations including Association for Computational Linguistics and IEEE. Her public engagement includes talks at venues such as TED, plenaries at NeurIPS and policy briefings with stakeholders from World Health Organization and national health agencies.

Category:Living people Category:Women in computer science Category:Massachusetts Institute of Technology faculty