School of Humanities and Sciences
Showing 461-470 of 2,017 Results
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Laurent Formery
Affiliate, Biology
BioI graduated from Sorbonne University (France) in Molecular and Cellular Biology, and I started my PhD at the Villefranche-sur-Mer marine station, where my research focused on the develoment and evolution of the nervous system in sea urchins, and on the roles of intercellular signaling pathways in this process. As part of my PhD, I spent one year at the Shimoda Marine Research Center (Japan). I am now trying to understand how morphological diversity emerged from gene regulatory networks, using echinoderms and other cool animals like accorn worms. I am broadly fascinated by developmental biology, evolution, and zoological studies of weird animals in general.
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Emily Fox
Professor of Statistics and of Computer Science
BioEmily Fox is a Professor in the Departments of Statistics and Computer Science at Stanford University. Prior to Stanford, she was the Amazon Professor of Machine Learning in the Paul G. Allen School of Computer Science & Engineering and Department of Statistics at the University of Washington. From 2018-2021, Emily led the Health AI team at Apple, where she was a Distinguished Engineer. Before joining UW, Emily was an Assistant Professor at the Wharton School Department of Statistics at the University of Pennsylvania. She earned her doctorate from Electrical Engineering and Computer Science (EECS) at MIT where her thesis was recognized with EECS' Jin-Au Kong Outstanding Doctoral Thesis Prize and the Leonard J. Savage Award for Best Thesis in Applied Methodology.
Emily has been awarded a CZ Biohub Investigator Award, Presidential Early Career Award for Scientists and Engineers (PECASE), a Sloan Research Fellowship, ONR Young Investigator Award, and NSF CAREER Award. Her research interests are in modeling complex time series arising in health, particularly from health wearables and neuroimaging modalities. -
John Fox
Adjunct Professor
Current Research and Scholarly InterestsStanford University Research areas center on optimal control methods to improve energy
efficiency and resource allocation in plug-in hybrid vehicles. Stanford graduate courses
taught in laboratory techniques and electronic instrumentation. Undergraduate course
"Energy Choices for the 21st Century"
