Current Position:
Vernon K. Krieble Professor of Chemistry; Professor of Physics; Director of the Data Science Institute
Institution:
Brown University
Discipline:
Theoretical Chemistry
Recognized for: Developing computational methods that make chemistry faster, cheaper, and smaller by predicting quantum materials, modeling protein structures, and storing data in molecules with greater speed and accuracy.
Areas of Research Interest and Expertise:
Electronic Structure, Quantum Physics, Biophysics, Molecular Computing, Quantum Computing
Previous Positions:
Visiting Professor and Fulbright Senior Scholar, University of Twente, Netherlands
Associate Professor of Chemistry and Physics with Tenure, Brown University
Joukowsky Family Assistant Professor of Chemistry, Brown University
Assistant Professor of Chemistry, Brown University
Lawrence Distinguished Postdoctoral Fellow, Lawrence Livermore National Laboratory
Visiting Scientist, Quantum Simulations Group, Lawrence Livermore National Laboratory
Visiting Scientist, CNLS, Los Alamos National Laboratory
PhD, Columbia University, USA
Research Summary:
Predicting how molecules and materials behave is essential for discovering new medicines, advanced materials, and molecular technologies, but many chemical systems are too complex to study by experiment alone. Brenda Rubenstein, PhD, develops computational models, simulations, and data-driven methods that make it possible to predict chemical behavior with greater speed and accuracy. Her work advances the discovery of quantum materials, improves tools for understanding protein structures, and explores how small molecules can store and process information. By combining chemistry, physics, and computer science, Rubenstein’s research is opening new possibilities in materials discovery, biology, and molecular-scale information technologies.
“Echoing Proust, ‘The real voyage of discovery consists not in seeking new landscapes, but in having new eyes.’ Thank you for recognizing those with the courage to ask new—and sometimes unfashionable—questions. Our group has illuminated how sampling can make predictions of molecular and materials properties both faster and more accurate.”
Key Publications:
Other Honors:
2025 NIH Quantum Grand Challenge Winner
2024 US Fulbright Senior Scholar to the Netherlands
2023 Brown University Meenakshi Narain Award for Undergraduate Research Mentoring
2022 Mass Challenge, RI Venture Prize, Brown Venture Prize Winner, AtomICs
2022 Early-Career Research Achievement Award, Brown University
2021 Named to Popular Science Magazine’s “Brilliant 10”
2021 Camille Dreyfus Teacher-Scholar Award
2020 OpenEye Outstanding Junior Faculty Award in Computational Chemistry, ACS
2020 Cottrell Teacher-Scholar Award
2019 Named to Chemical & Engineering News’ “Talented 12” List
2019 Alfred P. Sloan Fellowship
In the Media: