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Rahul Sarpeshkar

Professor
Department of Physics and Astronomy
Dartmouth College
United States of America

Biography

"Professor Sarpeshkar's interdisciplinary research uses analog circuits and analog computation as a universal language to design advanced quantum, bio-molecular, and nano-electronic circuits and systems, from atom to living cell. These systems are experimentally implemented in living synthetic microbial DNA-RNA-protein circuits in his wet lab, and in nano-electronic supercomputing chips that simulate biological and quantum computation in his dry lab. They also aid in the design of novel superconducting or NMR dynamical systems. Many common circuit themes in analog, physical, and biological computation include noise and thermodynamics, fault tolerance, feedback control, back action and loading, entanglement and correlation, precision measurement, nonlinear dynamics, robustness-efficiency tradeoffs, scalability, and hybrid quantum-classical operation. Professor Sarpeshkar is Dartmouth's inaugural Thomas E. Kurtz Professor and Chair of the Neukom Computational Science Cluster. He is a Professor of Physics, Engineering, Microbiology & Immunology, and Physiology & Neurobiology. His fundamental work has applications in quantum computation and circuit design, medicine, biotechnology, bio-inspired and ultra-energy-efficient systems. He has published 130 research articles, holds 36 patents, and ​has authored a leading textbook on analog and bioelectronic computation. Prior to his joining Dartmouth, he was a tenured and award-winning professor at MIT."

Research Interest

Synthetic analog, probabilistic, and thermodynamic circuits in microbes and living cells, Biophysics, Classical Analog, Quantum, and Classical-Quantum Computation, Extreme measurements in biological systems at the fundamental limits of physics.

Publications

  • R. Sarpeshkar, “Analog Synthetic Biology,” Philosophical Transactions of the Royal Society A, 372: 20130110, 2014.

  • S. Woo and R. Sarpeshkar, “A Cytomorphic Chip for Quantitative Modeling of Fundamental Bio-molecular Circuits,” IEEE Transactions on Biomedical Circuits and Systems, Special Issue in Synthetic Biology, Vol. 9, No. 4, August 2015.

  • J. Teo, S. Woo, and R. Sarpeshkar. “Synthetic Biology: A Unifying View and Review Using Analog Circuits,” IEEE Transactions on Biomedical Circuits and Systems, Special Issue in Synthetic Biology, Vol. 9, No. 4, August 2015.

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