Stanford University
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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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Vasiliki Fouka
Bing Professor of Human Biology, Associate Professor of Political Science and Senior Fellow at the Stanford Institute for Economic Policy Research
BioVasiliki Fouka is an Associate Professor of Political Science, a Senior Fellow at the Stanford Institute for Economic Policy Research (SIEPR) and a Faculty Research Fellow at the National Bureau of Economic Research (NBER).
Her research interests lie at the intersection of political economy and political behavior. She uses historical and contemporary data to understand what shapes social identities in the short and long run and the implications of that for political and economic behavior and policy design. Major applications of her research include immigrant assimilation, the determinants of prejudice against ethnic and racial minorities, and intergroup conflict.
Her articles have been published in leading journals in political science and economics, including the American Political Science Review, the Annual Review of Political Science and the Review of Economic Studies. -
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.
