Vijay Balasubramanian | |
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Born | 1969 Bombay (Mumbai), India |
Education |
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Known for | String Theory: AdS/CFT Correspondence, Large Volume Compactifications, Black Hole Information Paradox, Quantum Information. Biophysics: Energy Efficient Computation, Efficient Coding and Sensory Circuits in the Brain, Theory of Retinal Circuits, Theory of Spatial Cognition, Adaptive Molecular Sensing (Olfaction and Immune System). Inference and Learning: Occam's Razor in Statistical Inference, Complexity in Decision Making. |
Scientific career | |
Fields | String Theory, Quantum Field Theory, Biophysics (Theoretical Neuroscience), Statistical Inference, Machine Learning |
Institutions | University of Pennsylvania Santa Fe Institute |
Doctoral advisor | Curtis Callan |
Vijay Balasubramanian (born 1969[citation needed]) is an American theoretical physicist and the Cathy and Marc Lasry Professor of Physics and Astronomy at the University of Pennsylvania.[1] He has conducted research in string theory, quantum field theory, and biophysics (especially theoretical and computational neuroscience). He has also worked on problems in statistical inference and machine learning.[2]