World's Best Scientists 2026 revealed!
Regina Barzilay

Regina Barzilay

D-Index & Metrics

Computer Science

D-Index
97
Citations
35677
World Ranking
426
National Ranking
237

Research.com Recognitions

  • 2018 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to Natural Language Processing.
  • 2017 - Fellow of the MacArthur Foundation

Overview

Regina Barzilay is affiliated with MIT in the United States and has made contributions spanning computer science and biochemistry, genetics, and molecular biology. Their research integrates artificial intelligence techniques with applications in molecular biology and drug discovery.

Their publication record includes work in various research fields with particular emphasis on artificial intelligence, molecular biology, computational theory and mathematics, materials chemistry, and radiology, nuclear medicine, and imaging. Key research topics covered in their work include computational drug discovery methods, machine learning in materials science, topic modeling, protein structure and dynamics, RNA and protein synthesis mechanisms, machine learning and data classification, and natural language processing techniques.

Some of the recent papers authored or co-authored by Regina Barzilay are:

  • A Deep Learning Approach to Antibiotic Discovery, 2020, Cell
  • De novo design of protein structure and function with RFdiffusion, 2023, Nature
  • Applications of Deep Learning in Molecule Generation and Molecular Property Prediction, 2020, Accounts of Chemical Research
  • A Deep Learning Approach to Antibiotic Discovery, 2020, Cell
  • DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking, 2022, arXiv (Cornell University)

Frequent co-authors include:

  • Tommi Jaakkola
  • Wengong Jin
  • Connor W. Coley
  • Adam Yala
  • Jason Yim

Research publications by Barzilay appear often in venues such as:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Chemical Information and Modeling
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nature Chemical Biology

Regina Barzilay's academic distinctions include being named a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2018 for contributions to natural language processing and a Fellow of the MacArthur Foundation in 2017.

Best Publications

  • A Deep Learning Approach to Antibiotic Discovery

    Jonathan M. Stokes;Kevin Yang;Kyle Swanson;Wengong Jin

  • Analyzing Learned Molecular Representations for Property Prediction.

    Kevin Yang;Kyle Swanson;Wengong Jin;Connor W. Coley

  • Using lexical chains for text summarization

    Regina Barzilay;Michael Elhadad

  • Modeling local coherence: An entity-based approach

    Regina Barzilay;Regina Barzilay;Mirella Lapata

  • Junction Tree Variational Autoencoder for Molecular Graph Generation

    Wengong Jin;Regina Barzilay;Tommi S. Jaakkola

  • Prediction of Organic Reaction Outcomes Using Machine Learning

    Connor W. Coley;Regina Barzilay;Tommi S. Jaakkola;William H. Green

  • Rationalizing Neural Predictions

    Tao Lei;Regina Barzilay;Tommi S. Jaakkola

  • A graph-convolutional neural network model for the prediction of chemical reactivity

    Connor W. Coley;Wengong Jin;Luke Rogers;Timothy F. Jamison

  • Extracting Paraphrases from a Parallel Corpus

    Regina Barzilay;Kathleen R. McKeown

  • Style Transfer from Non-Parallel Text by Cross-Alignment

    Tianxiao Shen;Tao Lei;Regina Barzilay;Tommi S. Jaakkola

  • Learning to paraphrase: an unsupervised approach using multiple-sequence alignment

    Regina Barzilay;Lillian Lee

  • Information Fusion in the Context of Multi-Document Summarization

    Regina Barzilay;Kathleen R. McKeown;Michael Elhadad

  • Inferring strategies for sentence ordering in multidocument news summarization

    Regina Barzilay;Noemie Elhadad;Kathleen R. McKeown

  • Convolutional Embedding of Attributed Molecular Graphs for Physical Property Prediction

    Connor W. Coley;Regina Barzilay;William H. Green;Tommi S. Jaakkola

  • Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization

    Regina Barzilay;Lillian Lee

  • Multiple Aspect Ranking Using the Good Grief Algorithm

    Benjamin Snyder;Regina Barzilay

  • Sentence Fusion for Multidocument News Summarization

    Regina Barzilay;Kathleen R. McKeown

  • Tracking and summarizing news on a daily basis with Columbia's Newsblaster

    Kathleen R. McKeown;Regina Barzilay;David Evans;Vasileios Hatzivassiloglou

  • Learning to Automatically Solve Algebra Word Problems

    Nate Kushman;Yoav Artzi;Luke Zettlemoyer;Regina Barzilay

  • Reinforcement Learning for Mapping Instructions to Actions

    S.R.K. Branavan;Harr Chen;Luke Zettlemoyer;Regina Barzilay

  • Generative models for graph-based protein design

    John Ingraham;Vikas Kamur Garg;Regina Barzilay;Tommi S Jaakkola

Frequent Co-Authors

Kathleen R. McKeown
Kathleen R. McKeown Columbia University
Jacob Eisenstein
Jacob Eisenstein Google (United States)
Vasileios Hatzivassiloglou
Vasileios Hatzivassiloglou Columbia University
Mirella Lapata
Mirella Lapata University of Edinburgh
Judith L. Klavans
Judith L. Klavans University of Maryland, College Park
Judy Garber
Judy Garber Harvard University
Amir Globerson
Amir Globerson Tel Aviv University

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