Stanford University
Showing 1,451-1,500 of 1,571 Results
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Jiajun Wu
Assistant Professor of Computer Science and, by courtesy, of Psychology
BioJiajun Wu is an Assistant Professor of Computer Science and, by courtesy, of Psychology at Stanford University, working on computer vision, machine learning, robotics, and computational cognitive science. Before joining Stanford, he was a Visiting Faculty Researcher at Google Research. He received his PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. Wu's research has been recognized through the Young Investigator Programs (YIP) by ONR and by AFOSR, the NSF CAREER award, the Okawa research grant, the AI's 10 to Watch by IEEE Intelligent Systems, paper awards and finalists at ICCV, CVPR, SIGGRAPH Asia, ICRA, CoRL, and IROS, dissertation awards from ACM, AAAI, and MIT, the 2020 Samsung AI Researcher of the Year, and faculty research awards from Google, J.P. Morgan, Samsung, Amazon, and Meta.
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Joseph C. Wu, MD, PhD
Director, Stanford Cardiovascular Institute, Simon H. Stertzer, MD, Professor and Professor of Radiology
Current Research and Scholarly InterestsDrug discovery, drug screening, and disease modeling using iPSC.
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Joy Wu
Gerald M. Reaven, MD Professor of Endocrinology
Current Research and Scholarly InterestsMy laboratory focuses on the pathways that regulate the differentiation of mesenchymal stem cells into the osteoblast and adipocyte lineages. We are also studying the role of osteoblasts in the hematopoietic and cancer niches in the bone marrow microenvironment.
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Katherine Wu
Juris Doctor Student, Law
BioKatherine Wu earned All-American honors as an archery athlete while completing her neuroscience degree at Rice University. She is published in JAMA Oncology and Journal of Pediatric Ethics. Katherine is currently completing her JD at Stanford Law School where she serves as editor in chief of the Stanford Space & Policy Journal and editor of the Stanford Journal of Law, Economics & Business. She is a Pan-American Championships Gold medalist and serves on the Board of USA Archery and on the Olympic & Paralympic Dispute Resolution Committee for Team USA.
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Katie Wu
Ph.D. Student in Environment and Resources, admitted Autumn 2022
Ph.D. Minor, Civil and Environmental EngineeringBioKatie's research explores how community-driven social interventions and infrastructure development impact community and climate resilience in informal settlements. Her work advances how we operationalize resilience to better inform community-based strategies, policy, and investments that support urban transformation for vulnerable populations. She incorporates participatory methods essential for driving community-led efforts, ensuring a community's deep participation in every step of the iterative analysis, planning, and decision-making processes, in collaboration with multi-sectoral partners and decision-makers. Katie integrates advanced data science techniques, including network science and graph neural networks (GNNs), with community-generated, ground-truthed data to redefine how resilience is measured and applied for more equitable, community-driven strategies for sustainable development. She uses unconventional data sources, such as satellite imagery and citizen-sourced data, to model the built and natural environment in areas with limited conventional data.
Prior to Stanford, Katie studied data science and AI for Product Innovation at Duke University, where she obtained a Master of Engineering Management (MEM). She was a Sustainability Graduate Intern at Lyft, Inc., where she completed and rebuilt their 2020 Greenhouse Gas (GHG) Inventory and Report and designed an air quality model forecasting potential health benefits of EV adoption for underserved communities. She received an M.S. in Medical Science from the University of Colorado School of Medicine and a B.S. in Animal Science with Distinction in Research from Cornell University. Katie is a Dean's Graduate Scholar in the Doerr School of Sustainability, an Emerson Consequential Scholar with the Stanford Technology Ventures Program (STVP), a Graduate Fellow at the Stanford Institute for Human-Centered AI (HAI), and a Stanford Dalai Lama Fellow. -
Min Wu
Postdoctoral Scholar, Computer Science
Current Research and Scholarly InterestsResponsible AI, AI safety, trustworthy AI, robustness, explainability and interpretability.
Formal methods, automated verification, verification of deep neural networks, formal explainable AI. -
Rachel Wu
Affiliate, IT Services
BioRachel Wu, NP is an experienced nurse practitioner currently working in medical oncology clinic and the cancer diagnostic clinic at Stanford Health Care. With a comprehensive background in general medical oncology, hematology, infusion treatment center, and urgent care, Rachel brings a well-rounded perspective to oncologic patient care. She is passionate about delivering evidence-based compassionate care to individuals facing complex cancer diagnoses. She has been with Stanford since 2015.
Rachel graduated with her family nurse practitioner master's degree from University of California, Davis, and her registered nurse bachelor's degree from University of California, Irvine. -
Rebecca Wu
Clinical Assistant Professor, Radiology - Rad/Nuclear Medicine
BioDr. Rebecca Wu is a Clinical Assistant Professor in the Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, at Stanford Health Care Tri-Valley. She completed her medical education at Boston University School of Medicine followed by an internship at Steward Carney Hospital in Dorchester, MA. She went on to complete her residency training in Diagnostic Radiology at NYU Langone Hospital – Long Island in Mineola, NY, followed by a fellowship year in Nuclear Medicine at UCSF Medical Center. Dr. Wu is board-certified in both Diagnostic Radiology and Nuclear Medicine. Her clinical interests include oncologic imaging and its contributions to multidisciplinary cancer care, radionuclide therapies, and community medicine.
