Regina Barzilay
School of Engineering Distinguished Professor for AI and Health
AI Faculty Lead, Jameel Clinic
MacArthur Fellow
MIT Computer Science & Artificial Intelligence Lab
32 Vassar Street, 32-G468
Cambridge, MA 02139
(617) 258-5706 | regina@csail.mit.edu
Lab Website: rbg.mit.edu
News
Oncology
Data collected about millions of cancer patients — their pathology slides, imaging, and other tests — contain answers to many open questions in oncology. Jointly with the MGH collaborators, we are developing algorithms that can learn from this data to improve models of disease progression, prevent over-treatment, and narrow down to the cure. On the NLP side, we are creating databases which record pertinent cancer features extracted from raw documents. On the computer vision side, we are working on deep learning models that compute personalized assessment from mammogram data focusing on early cancer detection.
Chemistry
Today, drug discovery involves practitioners with years of advanced training and is carried out in a trial-and-error, labor-intensive fashion. Our goal is to change a traditional discovery pipeline. In a joint work with chemical engineers and biologists at MIT, we are working on deep learning methods for modeling biological and physicochemical properties, de-novo molecular design, and retrosynthesis. On the ML side, this area brings many interesting questions related to learning molecular representations, interpretability and robustness. As part of the MLPDS consortium, we are continuously learning from the deployment of our models in the pharmaceutical industry, directing the development towards our ultimate goal to change the drug discovery process.
Research Interests
Group
Teaching
Aziz Ayed
Mateo Reveiz
Peter Mikhael
Rachel Wu (+ Yumi)
Sean Murphy
Fall 2023:
6.8700 / 6.8701 Advanced Computational Biology: Genomes, Networks, Evolution
Spring 2024:
6.C01 / 6.C51 Modeling with Machine Learning: from Algorithms to Applications
Bio
Awards
Regina Barzilay is a School of Engineering Distinguished Professor of AI & Health in the Department of Computer Science and the AI Faculty Lead at MIT Jameel Clinic. She develops machine learning methods for drug discovery and clinical AI. In the past, she worked on natural language processing. Her research has been recognized with the MacArthur Fellowship, an NSF Career Award, and the AAAI Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity. Regina is a member of the National Academy of Engineering, American Academy of Arts and Sciences, and the National Academy of Medicine.
-
National Academy of Medicine 2023
-
National Academy of Engineering 2023
-
Susan G. Komen Scholar 2022
-
AACC Wallace H. Coulter Lectureship Award 2021
-
UNESCO/Netexplo Award 2021
-
School of Engineering Distinguished Professor for AI and Health (2021)
-
AAAI Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity 2021
-
Top 100 AI Leaders in Drug Discovery & Advanced Healthcare 2019
-
Xconomy Boston Digital Trailblazer 2019
-
Susan Komen Scholar 2018
-
Ruth and Joel Spira Award for Excellence in Teaching 2018
-
AAAI Fellowship 2017
-
ACL Fellowship 2017
-
MacArthur Fellowship 2017
-
Best Paper Award, EMNLP 2016
-
Burgess & Elizabeth Jamieson Award for Excellence in Teaching 2016
-
Delta Electronics Professor 2016
-
Best Paper Honorable Mention, EMNLP 2015
-
Faculty Research Innovation Fellowship 2014
-
Best Student Paper Award, NAACL 2014
-
Best Paper Award, SLT 2010
-
Carolyn Baldwin Morrison Lecture, Cornell 2009
-
Best Paper Award, ACL 2009
-
Ross Career Development Professor 2006
-
Microsoft Faculty Fellowship 2006
-
IEEE Intelligent Systems: “AI Ten to Watch” 2006
-
Technology Review: 35 Top Innovators 2005
-
NSF Career Award 2005
-
Technology Research News: “Top Picks: Technology Research Advances of 2004”
-
Best Paper Award, HLT/NAACL 2004