Stanford University
Showing 951-1,000 of 2,474 Results
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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. -
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; -
Matthias Ihme
Professor of Mechanical Engineering, of Photon Science and, by courtesy, of Energy Science and Engineering
BioLarge-eddy simulation and modeling of turbulent reacting flows, non-premixed flame, aeroacoustics and combustion generated noise, turbulence and fluid dynamics, numerical methods and high-order schemes.
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Gentaro Ikeda
Instructor, Medicine - Cardiovascular Medicine
BioDr. Ikeda is a physician-scientist who develops innovative diagnostic and therapeutic modalities for patients with cardiovascular disease. Based on his clinical experience as a cardiologist, he has become aware of major clinical shortcomings, specifically in the current pharmaceutical therapies for myocardial infarction (MI) and chronic heart failure (HF). Some evidence-based drug therapies, including β-blockers, ivabradine, and renin-angiotensin-aldosterone antagonists are difficult to apply to critical patients due to adverse side effects. Drugs that have shown efficacy in basic animal experiments have failed to show significant benefits in clinical trials. To address these problems, he moved to academia to conduct translational research. During his graduate training in the Egashira Lab, he focused on drug delivery systems (DDS) that target mitochondria in animal models of MI. He obtained advanced skills in molecular biology, mitochondrial bioenergetics, and animal surgery. He realized the importance of translational research and the great potential of DDS to overcome many clinical problems. He developed nanoparticle-mediated DDS containing cyclosporine for the treatment of patients with MI. He published a first-author paper and received academic awards for his novel science. Since becoming a postdoctoral fellow in the Yang Lab, he has continued to build upon his previous training in translational research. He is currently developing an innovative therapy, namely, extracellular vesicles-mediated mitochondrial transfer for mitochondria-related diseases such as heart failure and mitochondrial disease.
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Daniel Imler
Clinical Associate Professor, Emergency Medicine
Clinical Associate Professor, PediatricsCurrent Research and Scholarly InterestsI am interested in understanding the impact of smart, agile clinical pathways to drive behavior change among providers.
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John P.A. Ioannidis
George E. and Lucy Becker Professor of Medicine, Professor 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 -
Tauhid (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 (AI) 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, multiomic (e.g., radiomic, genomic, transcriptomic) data to accelerate discoveries in cancer diagnostics and therapeutics. Her current projects include data science/AI-powered prediction modeling of survival, treatment response, cancer recurrence, and metastasis in different cancer subtypes; detection of occult invasive breast cancer; and identification of novel therapeutic targets. Her goal is to translate her research findings back to the clinical setting for the benefit of patients with difficult-to-treat cancers.
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Robert K. Jackler, MD
Edward C. and Amy H. Sewall Professor, Emeritus
Current Research and Scholarly InterestsSince the early 2000s, study of tobacco industry marketing has become my primary field of research. Motivated by the lack of a comprehensive and well-organized compendium of tobacco advertisements, and the relative paucity of scholarly research analyzing the marketing practices of the industry, I chose to focus my research on advertising. The overarching purpose of my research has been to reveal the behavior of the tobacco industry in recruiting and retaining its consumers with the goal of infor
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Matthew O. Jackson
Eberle Professor of Economics and Senior Fellow at the Stanford Institute for Economic Policy Research
Biohttp://www.stanford.edu/~jacksonm/bio.html
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Peter K. Jackson
Professor of Microbiology and Immunology (Baxter Labs) and of Pathology
Current Research and Scholarly InterestsDr. Jackson’s lab studies how primary cilia organize hormone, metabolite, and growth factor signaling in metabolic tissues and how their disruption causes obesity and diabetes. A second focus is defining the KRAS driven secreted factor networks that rewire the tumor microenvironment in lung and pancreatic cancers to promote immune evasion and therapeutic resistance. This work is revealing new secreted drug targets and combination strategies for precision oncology and metabolic disease.
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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 -
Amy Jacobson
Director of Microbiome Therapies, Microbiome Therapies Initiative (MITI)
Current Role at StanfordSenior Scientific Program Manager, Sarafan ChEM-H and Stanford Innovative Medicines Accelerator
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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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Abhi Jain
Clinical Assistant Professor, Radiology
BioDr. Jain is a neuroradiologist and a Certified Imaging Informatics Professional (CIIP) whose academic work bridges day-to-day neuroradiology practice with imaging informatics and clinically grounded artificial intelligence (AI).
His clinical research interests include quantitative imaging and radiomics in cerebrovascular disease, with particular emphasis on intracerebral hemorrhage (ICH), and imaging biomarkers in the aging brain and neurodegeneration, including limbic-predominant age-related TDP-43 encephalopathy (LATE).
His AI/informatics and quality-improvement interests include large language models (LLMs) for radiology reporting support and clinical decision support, with an emphasis on real-world evaluation and workflow integration.
His education interests focus on modern, technology-enabled neuroradiology teaching, including tailored language models and extended reality (XR; augmented/virtual/mixed reality) approaches to strengthen trainee learning. -
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
Current 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.
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Daniel Jarosz
Senior Associate Dean, Basic Science, Professor of Chemical and Systems Biology and of Developmental Biology
Current Research and Scholarly InterestsMy laboratory studies conformational switches in evolution, disease, and development. We focus on how molecular chaperones, proteins that help other biomolecules to fold, affect the phenotypic output of genetic variation. To do so we combine classical biochemistry and genetics with systems-level approaches. Ultimately we seek to understand how homeostatic mechanisms influence the acquisition of biological novelty and identify means of manipulating them for therapeutic and biosynthetic benefit.
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Alireza Javadian Sabet
Affiliate, Stanford Digital Economy Lab (S-DEL)
BioAlireza Javadian Sabet is a Postdoctoral Scholar at the University of Chicago Knowledge Lab and a Digital Fellow at Stanford Digital Economy Lab. He earned a PhD in Information Science from the Resilient Economy Lab at the University of Pittsburgh, where his research focused on mapping career adaptability and understanding how skills and experience translate into changing sets of opportunities over time. He also holds a master’s degree in Computer Science and Engineering from Politecnico di Milano (PoliMi) and previously served as a research fellow at the Data Science Lab and the DEpendable Evolvable Pervasive Software Engineering group. His work has been discussed in policy and business outlets, including The Economist and the American Enterprise Institute.
Alireza studies how transformative AI reshapes labor markets and innovation systems, developing models and measures from large-scale datasets that link technological capabilities to changes in skills, mobility, and knowledge production. His work combines text and trajectory data to track skill formation in education, quantify how career opportunities expand or concentrate over time, and connect these dynamics to the movement of talent across organizations and borders. He is motivated by the broader challenge of assessing and predicting technology outcomes, including how advances diffuse through tasks and institutions, and how choices around funding, training, and governance influence who benefits from technological change. -
R Brooke Jeffrey
Professor of Radiology (Body Imaging), Emeritus
Current Research and Scholarly InterestsPancreatic MDCT
Thyroid ultrasound/biopsy
Virtual Colonoscopy
Imaging of appendicitis
Hepatic MDCT
Capsule ultrasound (wireless) of GI tract -
Stefanie S. Jeffrey, MD
John and Marva Warnock Professor, Emerita
Current Research and Scholarly InterestsDr. Jeffrey led the multidisciplinary team from the Schools of Medicine, Engineering, and Genome Technology Center that invented the MagSweeper, an automated device that immunomagnetically captures live circulating tumor cells (CTCs) from cancer patient blood for single cell analysis or culture. Her lab also works on microfluidic technologies for tumor cell capture, characterization, and growth - with the goal of defining individual patient response to newer biologically-based cancer therapies.
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Livnat Jerby
Assistant Professor of Genetics
Current Research and Scholarly InterestsCombining and advancing functional genomics, cell engineering, synthetic biology, AI, and basic immunology to uncover, decode, rewire, and develop mechanisms to selectively eliminate and reprogram disease-driving cells as a foundation for disease treatment and prevention.
