School of Humanities and Sciences
Showing 401-500 of 2,017 Results
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Bradley Efron
Max H. Stein Professor and Professor of Statistics and of Biomedical Data Science, Emeritus
Current Research and Scholarly InterestsResearch Interests:
BOOTSTRAP
BIOSTATISTICS
BAYESIAN STATISTICS -
Paul Ehrlich
Professor, Biology
Current Research and Scholarly InterestsThe role of the social sciences in dealing with global change
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Barbara Elizabeth Engelhardt
Professor (Research) of Biomedical Data Science and, by courtesy, of Statistics and of Computer Science
BioBarbara E Engelhardt is a Senior Investigator at Gladstone Institutes and Professor at Stanford University in the Department of Biomedical Data Science. She received her B.S. (Symbolic Systems) and M.S. (Computer Science) from Stanford University and her PhD from UC Berkeley (EECS) advised my Prof. Michael I Jordan. She was a postdoctoral fellow with Prof. Matthew Stephens at the University of Chicago. She was an Assistant Professor at Duke University from 2011-2014, and an Assistant, Associate, and then Full Professor at Princeton University in Computer Science from 2014-2022. She has worked at Jet Propulsion Labs, Google Research, 23andMe, and Genomics plc. In her career, she received an NSF GRFP, the Google Anita Borg Scholarship, the SMBE Walter M. Fitch Prize (2004), a Sloan Faculty Fellowship, an NSF CAREER, and the ISCB Overton Prize (2021). Her research is focused on developing and applying models for structured biomedical data that capture patterns in the data, predict results of interventions to the system, assist with decision-making support, and prioritize experiments for design and engineering of biological systems.
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David Epel
Jane and Marshall Steel Jr. Professor of Marine Sciences, Emeritus
Current Research and Scholarly InterestsEcological Developmental Biology
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Shanhui Fan
Joseph and Hon Mai Goodman Professor of the School of Engineering, Senior Fellow at the Precourt Institute for Energy and Professor, by courtesy, of Applied Physics
BioFan's research interests are in fundamental studies of nanophotonic structures, especially photonic crystals and meta-materials, and applications of these structures in energy and information technology applications
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Michael Fayer
David Mulvane Ehrsam and Edward Curtis Franklin Professor of Chemistry
BioMy research group studies complex molecular systems by using ultrafast multi-dimensional infrared and non-linear UV/Vis methods. A basic theme is to understand the role of mesoscopic structure on the properties of molecular systems. Many systems have structure on length scales large compare to molecules but small compared to macroscopic dimensions. The mesoscopic structures occur on distance scales of a few nanometers to a few tens of nanometers. The properties of systems, such as water in nanoscopic environments, room temperature ionic liquids, functionalized surfaces, liquid crystals, metal organic frameworks, water and other liquids in nanoporous silica, polyelectrolyte fuel cell membranes, vesicles, and micelles depend on molecular level dynamics and intermolecular interactions. Our ultrafast measurements provide direct observables for understanding the relationships among dynamics, structure, and intermolecular interactions.
Bulk properties are frequently a very poor guide to understanding the molecular level details that determine the nature of a chemical process and its dynamics. Because molecules are small, molecular motions are inherently very fast. Recent advances in methodology developed in our labs make it possible for us to observe important processes as they occur. These measurements act like stop-action photography. To focus on a particular aspect of a time evolving system, we employ sequences of ultrashort pulses of light as the basis for non-linear methods such as ultrafast infrared two dimensional vibrational echoes, optical Kerr effect methods, and ultrafast IR transient absorption experiments.
We are using ultrafast 2D IR vibrational echo spectroscopy and other multi-dimensional IR methods, which we have pioneered, to study dynamics of molecular complexes, water confined on nm lengths scales with a variety of topographies, molecules bound to surfaces, ionic liquids, and materials such as metal organic frameworks and porous silica. We can probe the dynamic structures these systems. The methods are somewhat akin to multidimensional NMR, but they probe molecular structural evolution in real time on the relevant fast time scales, eight to ten orders of magnitude faster than NMR. We are obtaining direct information on how nanoscopic confinement of water changes its properties, a topic of great importance in chemistry, biology, geology, and materials. For the first time, we are observing the motions of molecular bound to surfaces. In biological membranes, we are using the vibrational echo methods to study dynamics and the relationship among dynamics, structure, and function. We are also developing and applying theory to these problems frequently in collaboration with top theoreticians.
We are studying dynamics in complex liquids, in particular room temperature ionic liquids, liquid crystals, supercooled liquids, as well as in influence of small quantities of water on liquid dynamics. Using ultrafast optical heterodyne detected optical Kerr effect methods, we can follow processes from tens of femtoseconds to ten microseconds. Our ability to look over such a wide range of time scales is unprecedented. The change in molecular dynamics when a system undergoes a phase change is of fundamental and practical importance. We are developing detailed theory as the companion to the experiments.
We are studying photo-induced proton transfer in nanoscopic water environments such as polyelectrolyte fuel cell membranes, using ultrafast UV/Vis fluorescence and multidimensional IR measurements to understand the proton transfer and other processes and how they are influenced by nanoscopic confinement. We want to understand the role of the solvent and the systems topology on proton transfer dynamics. -
Shaghayegh Fazliani
Ph.D. Student in Mathematics, admitted Autumn 2021
BioShaghayegh, my first name, means red poppy in Persian. Here in the US, I go with 'Shay' as a nickname since Shaghayegh might be hard to pronounce! I graduated with a bachelor's degree in mathematics from Sharif University of Technology, focusing on pure mathematics. As of September 2021, I'll be a mathematics graduate student at Stanford University.
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Ben Feldman
Associate Professor of Physics
Current Research and Scholarly InterestsHow do material properties change as a result of interactions among electrons, and what is the nature of the new phases that result? What novel physical phenomena and functionality (e.g., symmetry breaking or topological excitations) can be realized by combining materials and device elements to produce emergent behavior? How can we leverage nontraditional measurement techniques to gain new insight into quantum materials? These are some of the overarching questions we seek to address in our research.
We are interested in a variety of quantum systems, especially those composed of two-dimensional flakes and heterostructures. This class of materials has been shown to exhibit an incredible variability in their properties, with the further benefit that they are highly tunable through gating and applied fields. -
Jessica Feldman
Associate Professor of Biology
Current Research and Scholarly InterestsCell differentiation requires cells to polarize, translating developmental information into cell-type specific arrangements of intracellular structures. The major goal of the research in my laboratory is to understand how cells build these functional intracellular patterns during development, specifically focusing on the molecules and mechanisms that build microtubules at cell-type specific locations and the polarity cues that guide this patterning in epithelial cells.
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Marcus Feldman
Burnet C. and Mildred Finley Wohlford Professor
Current Research and Scholarly InterestsHuman genetic and cultural evolution, mathematical biology, demography of China
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Russell D. Fernald
Benjamin Scott Crocker Professor of Human Biology, Emeritus
Current Research and Scholarly InterestsIn the course of evolution,two of the strongest selective forces in nature,light and sex, have left their mark on living organisms. I am interested in how the development and function of the nervous system reflects these events. We use the reproductive system to understand how social behavior influences the main system of reproductive action controlled by a collection of cells in the brain containing gonodotropin releasing hormone(GnRH)
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Chris Field
Melvin and Joan Lane Professor of Interdisciplinary Environmental Studies, Director, Woods Institute for the Environment & Professor of Earth System Science, of Biology and Senior Fellow at the Woods Institute and at the Precourt Institute
Current Research and Scholarly InterestsResearch
My field is climate-change science, and my research emphasizes human-ecological interactions across many disciplines. Most studies include aspects of ecology, but also aspects of law, sociology, medicine, or engineering. -
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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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" -
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. -
Benjamin N. Frey
Ph.D. Student in Applied Physics, admitted Autumn 2022
BioIn 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. -
Joshua Frieman
Professor of Particle Physics and Astrophysics and, by courtesy, of Physics
BioI carry out theoretical and observational research in cosmology on topics including dark energy, dark matter, and inflation, using tools such as large-scale structure, gravitational lensing, and supernovae, with increasing focus on the application of machine learning to the analysis of cosmic surveys. Cosmology is akin to archaeology on the grand scale: as an archaeologist uses pottery shards to reconstruct an ancient civilization and how it evolved, cosmologists use both small- and large-scale data to reconstruct the origin and evolution of the universe and to probe fundamental physics.
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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.
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Kelly Gaffney
Professor of Photon Science and, by courtesy, of Chemistry
Current Research and Scholarly InterestsThe research team Professor Gaffney leads focuses on time resolved studies of chemical reactions. Recent advances in ultrafast x-ray lasers, like the LCLS at SLAC National Accelerator Laboratory, enable chemical reactions to be observed on the natural time and length scales of the chemical bond – femtoseconds and Ångströms. The knowledge gained from x-ray and optical laser studies will be used to spark new approaches to photo-catalysis and chemical synthesis.
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Surya Ganguli
Associate Professor of Applied Physics, Senior Fellow at the Stanford Institute for Human-Centered AI and Associate Professor, by courtesy, of Neurobiology and of Electrical Engineering
Current Research and Scholarly InterestsTheoretical / computational neuroscience
