Stanford University
Showing 941-960 of 2,473 Results
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Ting-Ting Huang
Associate Professor (Research) of Neurology (Adult Neurology), Emerita
Current Research and Scholarly InterestsWe study the role of oxygen free radicals in oxidative tissue damage and degeneration. Our research tools include transgenic and knockout mice and tissue culture cells for in vitro gene expression.
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Andrew D. Huberman
Associate Professor of Neurobiology and, by courtesy, of Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsAndrew Huberman is a tenured associate professor of neurobiology and of ophthalmology at Stanford University School of Medicine, where he directs the Huberman Lab. After earning his B.A. from the University of California, Santa Barbara and completing M.A. and Ph.D. degrees in neuroscience at UC Berkeley and UC Davis, he conducted post-doctoral work at Stanford.
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Adrian Hugenmatter
Senior Research Scientist-Basic Life, Sarafan ChEM-H
BioDr. Adrian Hugenmatter joined ChEM-H as Director of Protein Engineering in 2021. In his role, Dr. Hugenmatter heads the Protein Engineering Laboratory at the Nucleus and is responsible for the development of therapeutic proteins at the Innovative Medicines Accelerator (IMA). Dr. Hugenmatter obtained his PhD in the laboratory of Prof. Donald Hilvert at the Swiss Federal Institute of Technology in Zurich (ETH Zurich, Switzerland), where he gained initial experience in the fields of enzymology, antibody engineering and directed evolution. Fascinated by protein engineering, he moved to the laboratory of Prof. Dan Tawfik at the Weizmann Institute of Science (Israel), where he studied molecular evolution and its application in protein design. Dr. Hugenmatter then worked for more than a decade as a researcher and team leader at Roche. During this time, he was involved in the development and optimization of several antibody lead candidates for therapeutic applications in neuroscience and oncology.
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John Huguenard
Professor of Neurology and Neurological Sciences (Neurology Research), of Neurosurgery (Adult Neurosurgery) and, by courtesy, of Molecular and Cellular Physiology
Current Research and Scholarly InterestsWe are interested in the neuronal mechanisms that underlie synchronous oscillatory activity in the thalamus, cortex and the massively interconnected thalamocortical system. Such oscillations are related to cognitive processes, normal sleep activities and certain forms of epilepsy. Our approach is an analysis of the discrete components (cells, synapses, microcircuits) that make up thalamic and cortical circuits, and reconstitution of components into in silico computational networks.
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Keith Humphreys
Esther Ting Memorial Professor and Professor, by courtesy, of Health Policy
Current Research and Scholarly InterestsDr. Humphreys researches individual and societal level interventions for addictive and psychiatric disorders. He focuses particularly on evaluating the outcomes of professionally-administered treatments and peer-operated self-help groups (e.g., Alcoholics Anonymous), and, analyzing the impact of public policies touching addiction, mental health, public health, and public safety.
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Paul S Humphries
Alliance Director, Innovative Medicines Accelerator (IMA)
Current Role at StanfordAlliance Director, Stanford Innovative Medicines Accelerator (IMA)
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Sohail Z Husain
Chambers-Okamura Endowed Professor of Pediatric Gastroenterology
Current Research and Scholarly InterestsMy research delves into three broad areas of the exocrine pancreas: (1) The crucial signaling pathways that initiate and transduce pancreatitis; (2) the factors that turn on pancreatic regeneration and recovery after pancreatic injury; and (3) the mechanisms underlying drug-induced pancreatitis.
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Ruth Huttenhain
Assistant Professor of Molecular and Cellular Physiology
Current Research and Scholarly InterestsMy group deciphers how G protein-coupled receptors decode extracellular cues into dynamic and context-specific cellular signaling networks to elicit diverse physiologic responses. We exploit quantitative proteomics to capture the spatiotemporal organization of signaling networks combined with functional genomics to study their impact on physiology.
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Gloria Hwang, MD
Current Research and Scholarly InterestsInterventional oncology, pancreatic interventions, image-guided gene therapy.
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Jackelyn Hwang
Associate Professor of Sociology
BioJackelyn Hwang is an Associate Professor in the Department of Sociology and Director of the Changing Cities Research Lab. Jackelyn’s main research interests are in the fields of urban sociology, race and ethnicity, immigration, and inequality. In particular, her research uses innovative data, measures, and methods to answer: how do neighborhood-level dynamics that are typically racialized drive changes in US residential segregation? Her projects focus on how residential sorting mechanisms shape how gentrification unfolds over time and space, the consequences of gentrification on residential displacement, and developing data and measurement infrastructures for improving measures of gentrification, including developing automated methods using computer vision to measure visible neighborhood conditions and their changes over time from Google Street View imagery. By improving our understanding of urban change and segregation, her work aims to advance policy solutions that promote racial equity as cities change.
Jackelyn received her B.A.S. in Sociology and Mathematics from Stanford University and her Ph.D. in Sociology and Social Policy from Harvard University. After completing her Ph.D., she was a Postdoctoral Research Fellow in the Office of Population Research at Princeton University. Her research has been supported by the American Sociological Association, the Joint Center for Housing Studies, the National Science Foundation, among others. Her work has appeared in the American Journal of Sociology, American Sociological Review, City & Community, Demography, Social Forces, Sociological Methods and Research, Sociological Methodology, and Urban Affairs Review, and other academic journals. -
Joo Ha Hwang, MD, PhD
Fortinet Founders School of Medicine Professor and Professor, by courtesy, of Surgery
Current Research and Scholarly InterestsSpecialize in early detection of gastrointestinal malignancies including esophageal, gastric, pancreatic, bile duct & colon cancers. I have both a clinical & research interest in improving the early detection of gastric cancer in particular. I am the PI of the Gastric Precancerous conditions Study, a prospective study of patients with gastric intestinal metaplasia & other precancerous conditions which combines comprehensive clinical & endoscopic data with a large bio-specimen repository.
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Patrick Hynes
Senior Manager of Research Communities, Institute for Human-Centered Artificial Intelligence (HAI)
Current Role at StanfordSenior Manager of Research Communities at Stanford HAI
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Gianluca Iaccarino
Robert Bosch Chair of the Department of Mechanical Engineering and Joseph L. and Roberta M. Rodgers Professor
Current Research and Scholarly InterestsComputing and data for energy, health and engineering
Challenges in energy sciences, green technology, transportation, and in general, engineering design and prototyping are routinely tackled using numerical simulations and physical testing. Computations barely feasible two decades ago on the largest available supercomputers, have now become routine using turnkey commercial software running on a laptop. Demands on the analysis of new engineering systems are becoming more complex and multidisciplinary in nature, but exascale-ready computers are on the horizon. What will be the next frontier? Can we channel this enormous power into an increased ability to simulate and, ultimately, to predict, design and control? In my opinion two roadblocks loom ahead: the development of credible models for increasingly complex multi-disciplinary engineering applications and the design of algorithms and computational strategies to cope with real-world uncertainty.
My research objective is to pursue concerted innovations in physical modeling, numerical analysis, data fusion, probabilistic methods, optimization and scientific computing to fundamentally change our present approach to engineering simulations relevant to broad areas of fluid mechanics, transport phenomena and energy systems. The key realization is that computational engineering has largely ignored natural variability, lack of knowledge and randomness, targeting an idealized deterministic world. Embracing stochastic scientific computing and data/algorithms fusion will enable us to minimize the impact of uncertainties by designing control and optimization strategies that are robust and adaptive. This goal can only be accomplished by developing innovative computational algorithms and new, physics-based models that explicitly represent the effect of limited knowledge on the quantity of interest.
Multidisciplinary Teaching
I consider the classical boundaries between disciplines outdated and counterproductive in seeking innovative solutions to real-world problems. The design of wind turbines, biomedical devices, jet engines, electronic units, and almost every other engineering system requires the analysis of their flow, thermal, and structural characteristics to ensure optimal performance and safety. The continuing growth of computer power and the emergence of general-purpose engineering software has fostered the use of computational analysis as a complement to experimental testing in multiphysics settings. Virtual prototyping is a staple of modern engineering practice! I have designed a new undergraduate course as an introduction to Computational Engineering, covering theory and practice across multidisciplanary applications. The emphasis is on geometry modeling, mesh generation, solution strategy and post-processing for diverse applications. Using classical flow/thermal/structural problems, the course develops the essential concepts of Verification and Validation for engineering simulations, providing the basis for assessing the accuracy of the results.
