School of Humanities and Sciences
Showing 451-500 of 1,997 Results
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Daniel Fisher
Marjorie Mhoon Fair Professor
Current Research and Scholarly InterestsEvolutionary & ecological dynamics & diversity, microbial, expt'l, & cancer
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Ian Fisher
Humanities and Sciences Professor, Professor of Applied Physics and, by courtesy, of Materials Science and Engineering
Current Research and Scholarly InterestsOur research focuses on the study of quantum materials with unconventional magnetic & electronic ground states & phase transitions. Emphasis on design and discovery of new materials. Recent focus on use of strain as a probe of, and tuning parameter for, a variety of electronic states. Interests include unconventional superconductivity, quantum phase transitions, nematicity, multipolar order, instabilities of low-dimensional materials and quantum magnetism.
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Anthony Flores
Ph.D. Student in Physics, admitted Autumn 2019
BioI am a Physics PhD Candidate performing research in X-ray Astrophysics within KIPAC and the XOC group. My primary interests surround the evolutionary history of galaxy clusters traced by X-ray observations of the Intracluster Medium. I measure the dynamical, thermodynamical, and chemical properties of clusters as a function of spatial scale and redshift to test models of self-similar evolution and chemical enrichment in the presence of feedback from sources such as AGN.
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Laurent Formery
Postdoctoral Scholar, Hopkins Marine Station
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
On Partial Leave from 10/01/2024 To 06/30/2025BioEmily 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" -
Philipp Frank
Postdoctoral Scholar, Physics
BioPhilipp Frank is an Astronomy and Machine Learning researcher who is developing and applying statistical and ai methods to help deepen our understanding of the structure of the Milky Way and the Cosmos. He did his PhD and a followup Postdoc in Germany at Ludwig Maximilians University and the Max-Planck-Institute for Astrophysics where he worked on probabilistic ML and numerical inference methods and contributed to applications ranging from radio interferometry, X- and gamma-ray imaging, Cosmic Ray air-shower reconstructions, and 3d maps of the dust and gas content of our local Galactic neighborhood.
As a KIPAC Fellow at Stanford he aims to push 3D mapping of the interstellar medium to unprecedented scales in both size and resolution, and incorporate multiple additional tracers for a more comprehensive picture of local structures. This aims to shed light on the mechanisms of star formation and galaxy dynamics across scales only accessible through our unique vantage point within the Galaxy. -
Hunter Fraser
Professor of Biology
Current Research and Scholarly InterestsWe study the evolution of complex traits by developing new experimental and computational methods.
Our work brings together quantitative genetics, genomics, epigenetics, and evolutionary biology to achieve a deeper understanding of how genetic variation shapes the phenotypic diversity of life. Our main focus is on the evolution of gene expression, which is the primary fuel for natural selection. Our long-term goal is to be able to introduce complex traits into new species via genome editing. -
Daniel Frees
Masters Student in Statistics, admitted Autumn 2023
BioDaniel Frees is an M.S. Data Science student in the Stanford Statistics department. He is also a Data Scientist at IBM. He is passionate about using data to drive advances in personalized medicine and fitness.
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Benjamin N. Frey
Ph.D. Student in Applied Physics, admitted Autumn 2022
Masters Student in Electrical Engineering, admitted Spring 2025BioIn May of 2022, I graduated as a Schulze Innovation Scholar from the University of St. Thomas (Saint Paul, MN).
I am interested in developing sensing and imaging technologies that can increase access to basic diagnostic healthcare. -
Judith Frydman
Donald Kennedy Chair in the School of Humanities and Sciences and Professor of Genetics
Current Research and Scholarly InterestsThe long term goal of our research is to understand how proteins fold in living cells. My lab uses a multidisciplinary approach to address fundamental questions about molecular chaperones, protein folding and degradation. In addition to basic mechanistic principles, we aim to define how impairment of cellular folding and quality control are linked to disease, including cancer and neurodegenerative diseases and examine whether reengineering chaperone networks can provide therapeutic strategies.
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Tadashi Fukami
Professor of Biology and of Earth System Science
Current Research and Scholarly InterestsEcological and evolutionary community assembly, with emphasis on understanding historical contingency in community structure, ecosystem functioning, biological invasion and ecological restoration, using experimental, theoretical, and comparative methods involving bacteria, protists, fungi, plants, and animals.
