Vice Provost and Dean of Research
Showing 481-500 of 1,154 Results
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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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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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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
Clinical Professor, Radiology
Current Research and Scholarly InterestsInterventional oncology, pancreatic interventions, image-guided gene therapy.
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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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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. -
Andrei Iagaru
Professor of Radiology (Nuclear Medicine)
Current Research and Scholarly InterestsCurrent research projects include:
1) PET/MRI and PET/CT for Early Cancer Detection
2) Targeted Radionuclide Therapy
3) Clinical Translation of Novel PET Radiopharmaceuticals; -
John P.A. Ioannidis
Professor of Medicine (Stanford Prevention Research Center), of Epidemiology and Population Health and, by courtesy, of Biomedical Data Science
Current Research and Scholarly InterestsMeta-research
Evidence-based medicine
Clinical and molecular epidemiology
Human genome epidemiology
Research design
Reporting of research
Empirical evaluation of bias in research
Randomized trials
Statistical methods and modeling
Meta-analysis and large-scale evidence
Prognosis, predictive, personalized, precision medicine and health
Sociology of science -
Md Tauhidul Islam
Assistant Professor of Radiation Oncology (Radiation Physics)
Current Research and Scholarly InterestsMy research focuses on developing computationally efficient and clinically reliable AI methods for biomedical imaging and high-dimensional molecular data, with an emphasis on cancer and neurological disease. The Islam Lab designs novel representations and learning frameworks that improve deep learning performance in data-constrained biomedical settings, including methods that transform tabular omics data into spatially meaningful representations.
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Haruka Itakura, MD, PhD
Assistant Professor of Medicine (Oncology)
BioDr. Haruka Itakura is an Assistant Professor of Medicine (Oncology) in the Stanford University School of Medicine, a data scientist, and a practicing breast medical oncologist at the Stanford Women’s Cancer Center. She is board-certified in Oncology, Clinical Informatics, Hematology, and Internal Medicine. Her research mission is to drive medical advances at the intersection of cancer and data science, applying state-of-the-art machine learning/artificial intelligence techniques to extract clinically actionable knowledge from heterogeneous multi-scale cancer data to improve patient outcomes. Her ongoing research to develop robust methodologies and apply cutting-edge techniques to analyze complex cancer big data was catapulted by an NIH K01 Career Development Award in Biomedical Big Data Science after obtaining a PhD in Biomedical Informatics at Stanford University. Her cancer research focuses on extracting radiomic (pixel-level quantitative imaging) features of tumors from medical imaging studies and applying machine learning frameworks, including radiogenomic approaches, for the integrative analysis of heterogeneous, multi-omic (e.g., radiomic, genomic, transcriptomic) data to accelerate discoveries in cancer diagnostics and therapeutics. Her current projects include prediction modeling of survival, treatment response, recurrence, and CNS metastasis in different cancer subtypes; detection of occult invasive breast cancer; and identification of novel therapeutic targets. Her ultimate goal is to be able to translate her research findings back to the clinical setting for the benefit of patients with difficult-to-treat cancers.
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Peter K. Jackson
Professor of Microbiology and Immunology (Baxter Labs) and of Pathology
Current Research and Scholarly InterestsCell cycle and cyclin control of DNA replication .
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Charlotte D. Jacobs M.D.
Drs. Ben and A. Jess Shenson Professor in the School of Medicine, Emerita
Current Research and Scholarly InterestsClinical Interests: general oncology, sarcomas. Research Interests: clinical trials in solid tumors.
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Christine Jacobs-Wagner
Dennis Cunningham Professor, Professor of Biology and of Microbiology and Immunology
BioChristine Jacobs-Wagner is a Dennis Cunningham Professor in the Department of Biology and the ChEM-H Institute at Stanford University. She is interested in understanding the fundamental mechanisms and principles by which cells, and, in particular, bacterial cells, are able to multiple. She received her PhD in Biochemistry in 1996 from the University of Liège, Belgium where she unraveled a molecular mechanism by which some bacterial pathogens sense and respond to antibiotics attack to achieve resistance. For this work, she received multiple awards including the 1997 GE & Science Prize for Young Life Scientists. During her postdoctoral work at Stanford Medical School, she demonstrated that bacteria can localize regulatory proteins to specific intracellular regions to control signal transduction and the cell cycle, uncovering a new, unsuspected level of bacterial regulation.
She started her own lab at Yale University in 2001. Over the years, her group made major contributions in the emerging field of bacterial cell biology and provided key molecular insights into the temporal and spatial mechanisms involved in cell morphogenesis, cell polarization, chromosome segregation and cell cycle control. For her distinguished work, she received the Pew Scholars award from the Pew Charitable Trust, the Woman in Cell Biology Junior award from the American Society of Cell Biology and the Eli Lilly award from the American Society of Microbiology. She held the Maxine F. Singer and William H. Fleming professor chairs at Yale. She was elected to the Connecticut academy of Science, the American Academy of Microbiology and the National Academy of Sciences. She has been an investigator of the Howard Hughes Medical Institute since 2008.
Her lab moved to Stanford in 2019. Current research examines the general principles and spatiotemporal mechanisms by which bacterial cells replicate, using Caulobacter crescentus and Escherichia coli as models. Recently, the Jacobs-Wagner lab expanded their interests to the Lyme disease agent Borrelia burgdorferi, revealing unsuspected ways by which this pathogen grows and causes disease -
Prasanna Jagannathan
Associate Professor of Medicine (Infectious Diseases) and of Microbiology and Immunology
Current Research and Scholarly InterestsWe study innate immunity and immune regulation of Plasmodium Falciparum malaria in children and pregnant women. Our work focuses on understanding how malaria shapes the immune state in individuals following repeated exposure. We are also testing novel interventions to enhance protective immunity against malaria in children via large, randomized controlled trials. Our work in malaria has been based in Eastern Uganda, where malaria transmission is among the highest in the world.
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Siddhartha Jaiswal
Associate Professor of Pathology
Current Research and Scholarly InterestsWe identified a common disorder of aging called clonal hematopoiesis of indeterminate potential (CHIP). CHIP occurs due to certain somatic mutations in blood stem cells and represents a precursor state for blood cancer, but is also associated with increased risk of cardiovascular disease and death. We hope to understand more about the biology and clinical implications of CHIP using human and model system studies.
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Doug James
LeRa Professor and Professor, by courtesy, of Music
Current Research and Scholarly InterestsComputer graphics & animation, physics-based sound synthesis, computational physics, haptics, reduced-order modeling
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Michelle L. James
Associate Professor of Radiology (Molecular Imaging Program at Stanford) and of Neurology and Neurological Sciences (Neurology Research)
Current Research and Scholarly InterestsThe primary aim of my lab is to improve the diagnosis and treatment of brain diseases by developing translational molecular imaging agents for visualizing neuroimmune interactions underlying conditions such as Alzheimer’s disease, multiple sclerosis, and stroke.
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Ted Jardetzky
Professor of Structural Biology
On Partial Leave from 12/01/2025 To 02/28/2027Current Research and Scholarly InterestsThe Jardetzky laboratory is studying the structures and mechanisms of macromolecular complexes important in viral pathogenesis, allergic hypersensitivities and the regulation of cellular growth and differentiation, with an interest in uncovering novel conceptual approaches to intervening in disease processes. Ongoing research projects include studies of paramyxovirus and herpesvirus entry mechanisms, IgE-receptor structure and function and TGF-beta ligand signaling pathways.
