Stanford University
Showing 34,351-34,400 of 36,204 Results
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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.
