Vice Provost and Dean of Research
Showing 721-740 of 1,742 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
Clinical Professor, Radiology
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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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; -
Yusuke Iguchi
Sr Res Scientist-Physical
Current Research and Scholarly InterestsHis research specialties are in experimental condensed matter physics, magnetic excitations in microwave region, magnetic scanning probe microscopy, multiferroics, and unconventional superconductors. Currently his interest is in the unconventional superconductors such as heavy fermion and iron based ones.
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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
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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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
