Stanford University
Showing 34,401-34,450 of 36,311 Results
-
Derek Wu
Affiliate, Department Funds
Fellow in Medicine - Med/Pulmonary, Allergy & Critical Care MedicineBioDerek received his MD degree and completed his Internal Medicine training at Western University. He is interested in point-of-care ultrasound for managing and resuscitating critically ill patients. Derek has investigated deep learning applications for automated interpretation of lung ultrasound and he is interested in medical device innovation.
-
Edith Wu
Associate Dean of First Year Experience, Academic Advising Operations
Current Role at StanfordAssociate Dean, First Year Experience
-
Han Wu
Affiliate, Adult Neurology
BioWorking on clinical data pipelines and large-scale neurophysiology datasets (EEG/PSG), leveraging the OMOP common data model to enable cohort construction, analytics, and data-driven research in neurology.
-
Hsi-Yang Wu
Member, Maternal & Child Health Research Institute (MCHRI)
Current Research and Scholarly InterestsI am interested in how the brain matures to control the bladder and external sphincter to achieve urinary continence. Using functional MRI of the brain, we are investigating if certain patterns of activity will predict which children will respond to therapy for incontinence.
-
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.
-
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.
-
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.
-
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.
-
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.
