Faculty
The MIT Physics Department is one of the best places in the world for research and education in physics. We have been ranked the number one physics department since 2002 by US News & World Report.
We have three current and two retired faculty members who have won a Nobel Prize in Physics, nine total since 1964. We have also been the source of innovation in physics education for decades. Eight members of our Department have won the Oersted Medal, the most prestigious award of the American Association of Physics Teachers.
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George Benedek
Alfred H. Caspary Professor of Physics and Biological Physics, Emeritus
Research centers on phase transitions, self-assembly and aggregation of biological molecules.
Arup Chakraborty
John M. Deutch Institute Professor
Professor of Chemical Engineering, Physics, and Chemistry
Professor of Chemical Engineering, Physics, and Chemistry
Understanding the mechanisms underlying the immune response to pathogens for the design of better vaccines; phase separation in gene regulation.
Nikta Fakhri
Thomas D. & Virginia W. Cabot Career Development Associate Professor of Physics
Investigates non-equilibrium physics in living systems.
Jeff Gore
Professor of Physics
Uses experimentally tractable laboratory microcosms to explore how interactions between individuals drives the evolution and ecology of communities.
Mehran Kardar
Francis Friedman Professor of Physics
Interests include non-equilibrium collective behavior, disordered systems, soft matter, fluctuation-induced phenomena, and biophysics.
Leonid Mirny
Richard J. Cohen (1976) Professor in Medicine and Biomedical Physics, and Physics, MIT
Associate Member, Broad Institute at Harvard and MIT
Associate Member, Broad Institute at Harvard and MIT
Genome folding in 3D: understanding physical mechanisms that cells use to fold, to pack, to repair and to control their genetic material.
Julien Tailleur
Associate Professor of Physics
Works on non-equilibrium systems, active matter and their biophysical applications.
Max Tegmark
Professor of Physics
Research focuses on linking physics and machine learning: using AI for physics and physics for AI.
