Stanford University
Showing 35,101-35,200 of 37,033 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 Microsoft, Google, Nvidia, 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 P. 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.
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Sean M. Wu
Professor of Medicine (Cardiovascular Medicine) and, by courtesy, of Pediatrics
Current Research and Scholarly InterestsMy lab seeks to identify mechanisms regulating cardiac lineage commitment during embryonic development and the biology of cardiac progenitor cells in development and disease. We believe that by understanding the transcriptional and epigenetic basis of cardiomyocyte growth and differentiation, we can identify the most effective ways to repair diseased adult hearts. We employ mouse and human embryonic and induced pluripotent stem cells as well as rodents as our in vivo models for investigation.
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Timothy Ting-Hsuan Wu
MD Student, expected graduation Spring 2026
Ph.D. Student in Biochemistry, admitted Summer 2021
Casual - Non-Exempt, Medicine - Med/Pulmonary, Allergy & Critical Care MedicineCurrent Research and Scholarly InterestsMolecular and cellular basis of lung development, renewal and disease;
Single cell analysis of SARS-CoV-2 lung infection;
Vascular inflammation and immune dysregulation in pulmonary hypertension. -
Allen Wu
Principal Engineer At Eli Lilly And Company, Medicine - Med/Cardiovascular Medicine
BioAllen Wu is a machine learning engineer and researcher specializing in large-scale AI/ML infrastructure for biomedical and pharmaceutical applications. He contributed to the development of TuneLab, an Eli Lilly AI/ML platform supporting federated drug discovery with external biotech partners, and Model Gateway, an MLOps inference platform for internal model-driven drug discovery, during his tenure at Eli Lilly. He holds dual MS degrees in Computer Science (National Chiao Tung University, Taiwan) and Software Engineering (San José State University), with publications in both VLSI/EDA and Pharma AI, and is an IEEE peer reviewer and NSTC LEAP Fellow (hosted at Synopsys). His current research interests focus on the intersection of iPSC biology and AI/ML pipelines for precision medicine.
LinkedIn Profile: https://www.linkedin.com/in/yswu123
Google Scholar Profile: https://scholar.google.com/citations?user=ymttL5gAAAAJ -
Yecun Wu
Postdoctoral Scholar, Physics
BioDr. Yecun Wu is a postdoctoral scholar in the physics department at Stanford University, working with Prof. Steven Chu. His research interests encompass a range of interdisciplinary fields, including quantum sensing, quantum materials, energy storage, and sustainability. Dr. Wu's current research aims to tackle the pressing issues and challenges in the energy field by utilizing quantum technology. He received his Ph.D. in Electrical Engineering from Stanford University, where he worked with Prof. Yi Cui and collaborating closely with Prof. Harold Y. Hwang. During his doctoral studies, he developed innovative methods to control the properties of two-dimensional materials using guest species, which opened new avenues for their use in quantum and energy applications.
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Yilei Wu
Laboratory Services Manager 2, Chemistry
BioAs a research scientist at Stanford University, I am passionate about advancing the field of organic electronics and solar energy conversion. I have over 15 years of experience in designing, synthesizing, and applying novel organic materials for various applications, such as thin-film transistors, solar cells, spintronics, fluorescence imaging, and molecular machines. I work to develop high-performance organic materials for solution printable solar cells and wearable electronics. I leverage my expertise in supramolecular chemistry, thin-film deposition, and device characterization to optimize the donor-acceptor interfaces and bulk morphology of organic photovoltaic materials. My work contributes to the development of flexible and lightweight solar cells that can provide a sustainable and versatile solution for the modern military and civilian needs.
I oversee the operation and management of Chemistry department laboratory teaching facilities. I also oversee and administer health and safety programs and ensure safety compliance.
As instructor, I teach CHEM 100: Chemical Laboratory and Safety Skills. This is a short in-lab course that is only held in the second week of the Autumn quarter. It provides training in basic chemical laboratory procedures and chemical safety to fulfill the safety training requirement for CHEM 121 and more advanced laboratory courses. The following topics are covered: Reading and Understanding Safety Data Sheets (SDS), Exploring Hazards and Risks, Waste Management, Basic Purification (TLC, Extraction, Filtration, etc.) and Analysis Techniques. In spring 2026 I will teach CHEM 121: Understanding the Natural and Unnatural World through Chemistry. -
Yingcheng Wu
Postdoctoral Scholar, Pathology
BioYingcheng (Charles) Wu is an AI postdoc advised by Le Cong and Mengdi Wang, focusing on physical AI scientists, biomedical world models, and autonomous science infra. His work combines embodied AI, robotics, and agents to build self-driving laboratories capable of real-world scientific experimentation. He has published studies in **Cell**, **Science**, **Nature**, and received honors including the ICIS Sidney & Joan Pestka Award, the IUBMB Young Scientist Program Fellowship, and the APASL Young Investigator Award.
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Yue Wu
Postdoctoral Scholar, Genetics
Current Research and Scholarly InterestsI built computational methods to integrate and model biological time series, including metabolic dynamics, longitudinal multi-omics data, and micro-sampling. I reduce dimensions, built clusters, and search for causal links.
