Name Ph.D Institution Mentor Research Interests Office
University of California, San Diego Mihnea Popa Algebraic geometry 112
EPFL Mike Douglas Mathematical understanding of machine learning 112
Tel Aviv University Yannai Gonczarowski and Scott Kominers Algorithmic game theory 109
Princeton University Boaz Barak and Mike Douglas Deep learning theory and non-convex optimization 109
Stanford Eric Maskin Microeconomic theory, market design, industrial organization, algorithmic game theory 112
Rutgers Dan Freed Quantum field theory 116
Tel-Aviv University Shing-Tung Yau Double-copy of electric-magnetic duality 109
MIT Dan Freed Symplectic resolutions of singularities, integrable systems, 3D-mirror symmetry, and Coulomb branches 109
Daniel Mitropolsky
daniel@cmsa.fas.harvard.edu
Columbia University Mike Douglas Theoretical comp sci, natural language processing, machine learning, theoretical neuroscience G08
Yale University Shing-Tung Yau Mathematical general relativity 115
Uppsala University Michael Hopkins Higher-form symmetries 115
University of Oxford Lauren K. Williams Quantum Field Theory, Scattering Amplitudes, Amplituhedron, Tropical Geometry, Cluster Algebras 112
Caltech Dan Freed Global categorical symmetries 106
Alejandro Poveda Ruzafa
alejandro@cmsa.fas.harvard.edu
Universitat de Barcelona Hugh Woodin Set Theory 115
Toyota Technological Institute at Chicago Cynthia Dwork and Ariel Procaccia Machine learning theory, incentives, robustness, strategic classificatioin, transformation invariances 116
University of California, Santa Barbara David Nelson Physical Modeling of Morphogenesis 114
Damian van de Heisteeg
damian@cmsa.fas.harvard.edu
Utrecht University Cumrun Vafa String Theory and Mathematical Physics 116
University of Chicago Scott Kominers Macroeconomics and Finance, Machine Learning 107
Caltech Dan Freed 106
String dualities, twisted supersymmetric gauge theories Dan Freed 114