School of Humanities and Sciences
Showing 1-10 of 43 Results
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Chiara Sabatti
Professor of Biomedical Data Science and of Statistics
Current Research and Scholarly InterestsStatistical models and reasoning are key to our understanding of the genetic basis of human traits. Modern high-throughput technology presents us with new opportunities and challenges. We develop statistical approaches for high dimensional data in the attempt of improving our understanding of the molecular basis of health related traits.
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Robert Sapolsky
John A. and Cynthia Fry Gunn Professor and Professor of Neurology and of Neurosurgery
Current Research and Scholarly InterestsNeuron death, stress, gene therapy
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Monika Schleier-Smith
Associate Professor of Physics
Current Research and Scholarly InterestsIn between the few-particle realm where we have mastered quantum mechanics and the macroscopic domain describable by classical physics, there lies a broad swath of territory where quantum effects are relevant but still largely out of our control and partly beyond our comprehension. This territory includes metrological instruments whose precision is limited by the quantum projection noise of millions of atoms; and materials whose bulk properties emerge from many-body interactions intractable to simulation on classical computers. Professor Schleier-Smith’s research aims to advance our control and understanding of many-particle quantum systems by engineering new quantum states and Hamiltonians with ensembles of laser-cooled atoms.
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Mark J. Schnitzer
Professor of Biology and of Applied Physics
Current Research and Scholarly InterestsThe goal of our research is to advance experimental paradigms for understanding normal cognitive and disease processes at the level of neural circuits, with emphasis on learning and memory processes. To advance these paradigms, we invent optical brain imaging techniques, several of which have been widely adopted. Our neuroscience studies combine these imaging innovations with behavioral, electrophysiological, optogenetic and computational methods, enabling a holistic approach to brain science.
