Bio-X
Showing 451-460 of 1,076 Results
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Gianluca Iaccarino
Professor of Mechanical Engineering
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I consider the classical boundaries between disciplines outdated and counterproductive in seeking innovative solutions to real-world problems.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), 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 -
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.
