School of Humanities and Sciences
Showing 81-100 of 383 Results
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Justin Du Bois
Henry Dreyfus Professor of Chemistry and Professor, by courtesy, of Chemical and Systems Biology
BioThe Du Bois lab is heavily invested in exploring voltage-gated ion channel function and physiology and the underlying role of specific channels in human pathologies, particularly nociception, epilepsy, and neurodevelopmental disorders. With expertise in chemical synthesis, we have access to a collection of exceptional natural products—tetrodotoxin, saxitoxin, gonyautoxin, batrachotoxin, veratridine, antillatoxin, to name a few—that act as selective modulators of sodium ion channels (NaVs). In addition, we have developed novel molecules as inhibitors and agonists of specific voltage-gated chloride (ClCs) and calcium (CaVs) channel isoforms. As a lab, we are uniquely positioned to advance high-precision chemical tools to interrogate underlying biochemical mechanisms of electrogenesis. Our work in this arena is guided by a number of questions related to the basic functioning of voltage-gated channels in neuronal cells and glia that include: 1) what is the rate at which channels are being made and degraded and is the rate of channel turnover context dependent (i.e., is protein turnover affected by increased neuronal activity, nerve cell damage, etc.); 2) to what extent is channel expression and cellular distribution affected by external factors (pH, inflammatory modulators, injury); 3) how do post-translational protein modifications influence channel function and how are such modifications altered in response to external factors; 4) how do neighboring glia influence channel expression and ion gating. Answers to these types of questions will provide a deeper understanding of the molecular mechanisms by which neuronal cells and tissue respond to external stimuli, stress, and injury. We benefit from the strong interest of others in our work and multiple collaborators at Stanford and at other institutions.
Ion channel function and physiology. We wish to understand the role of individual subtypes of voltage-gated sodium, chloride, and calcium channels in neuronal signaling and how structural changes (i.e., point mutations, post-translational modifications, partner proteins) alter channel function. Our interests include the design, development, and application of chemogenetic technologies for targeting individual channel subtypes and allosteric modulators of select channel isoforms. Our work aims to inform efforts in translational research, as voltage-gated ion channel dysregulation and malfunction underlie a wide range of human diseases and disorders.
Natural products synthesis. We are interested in developing efficient and flexible synthetic routes to natural products that serve as ‘lead’ compounds for advancing high precision pharmacological tools. Most of the targets we are interested in obtaining are not available in sufficient quantities from natural sources, thus necessitating de novo preparation. To streamline the assembly process of these complex molecules, we are challenged to develop, in parallel, new tactics and chemical methods that facilitate C–C, C–N, and C–O bond formation.
Toxin ‘sponge’ proteins. A longstanding collaboration with the Minor lab at UCSF has focused on understanding how certain organisms that ingest dietary toxins such as saxitoxin, tetrodotoxin, and batrachotoxin survive their poisonous effects. This work has resulted in the elucidation of the structures of novel paralytic shellfish-binding proteins (so-called saxiphilins) and the toxin ‘binding code’. Studies are ongoing to integrate saxiphilins into a diagnostic device for measuring toxin concentrations in shellfish and to advance an engineered toxin-binding protein as a countermeasure for paralytic shellfish poisoning. -
John Duchi
Associate Professor of Statistics, of Electrical Engineering and, by courtesy, of Computer Science
Current Research and Scholarly InterestsMy work spans statistical learning, optimization, information theory, and computation, with a few driving goals: 1. To discover statistical learning procedures that optimally trade between real-world resources while maintaining statistical efficiency. 2. To build efficient large-scale optimization methods that move beyond bespoke solutions to methods that robustly work. 3. To develop tools to assess and guarantee the validity of---and confidence we should have in---machine-learned systems.
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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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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. -
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
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, Professor of Earth System Science, of Biology and Senior Fellow at the Woods Institute for the Environment 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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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.
