Stanford University
Showing 33,841-33,860 of 37,041 Results
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Chen Wang, MD, PhD
Clinical Assistant Professor, Dermatology
BioDr. Wang is a board-certified dermatologist with the Stanford Dermatology Clinic and a clinical assistant professor in the Department of Dermatology at Stanford University School of Medicine.
Dr. Wang specializes in medical dermatology. He commonly diagnoses and treats conditions such as acne, inflammatory skin diseases, hair loss, and skin cancer.
Dr. Wang completed a postdoctoral fellowship in immunology research with the Mark M. Davis Laboratory at Stanford University. His research interests include cutaneous immunology and the role of T cells in inflammatory skin diseases. -
C. Jason Wang, MD, PhD
LCY: Tan Lan Lee Professor and Professor of Pediatrics (General Pediatrics) and of Health Policy
BioDr. Wang is the Director of Center for Policy, Outcomes and Prevention. Prior to coming to Stanford in 2011, he was a faculty member at Boston University Schools of Medicine and Public Health. His other professional experiences include working as a management consultant with McKinsey and Company and serving as the project manager for Taiwan's National Health Insurance Reform Task-force. His current interests include: 1) pandemic preparedness; 2) role of generative Ai on child health and development; 3) use of mobile technology in improving quality of care; 4) assessing and improving the value of healthcare, and 5) healthcare delivery innovations and payment reforms.
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Chong Wang
Postdoctoral Scholar, Radiology
BioI am currently a Postdoctoral Scholar in the Department of Radiology at Stanford University School of Medicine, affiliated with the Center for Artificial Intelligence in Medicine and Imaging (AIMI). My research mainly focuses on AI and foundation models in healthcare, with an emphasis on developing trustworthy, robust, and efficient AI solutions for medical imaging. I earned my Ph.D degree, honored with the Doctoral Research Medal, in Computer Science from the Australian Institute for Machine Learning (AIML), The University of Adelaide.
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Dakuo Wang
Visiting Associate Professor, Computer Science
BioDakuo Wang is a Visiting Associate Professor at Stanford University, and an Associate Professor at Northeastern University, jointly appointed at Khoury College of Computer Sciences and the College of Arts, Media and Design. At Northeastern, Dakuo Wang leads the Northeastern University Human-Centered AI Lab (NEU HAI), and he is also the Founding Director of the AI Application Graduate Program. His research lies at the intersection of human-computer interaction (HCI) and artificial intelligence (AI), with a focus on the exploration, development, and evaluation of human-centered AI (HCAI) systems to achieve human-AI collaboration.
Before joining Northeastern, Dakuo Wang was a Senior Staff Member at IBM Research, Principal Investigator at MIT-IBM Watson AI Lab, and a Visiting Scholar at Stanford Institute for Human-Centered Artificial Intelligence (Stanford HAI). He got his Ph.D. from the University of California Irvine (advisor: Judith Olson and Gary Olson). He has worked as a designer, researcher, and engineer in the U.S., China, and France. He serves in organizing committees, program committees, and editorial boards for a variety of venues, and ACM has recognized him as an ACM Distinguished Speaker. -
Karen D. Wang
Affiliate, Physics
BioMy research is situated at the intersection of machine learning and human cognition. In my work, I apply learning analytics and data mining techniques to students’ interaction data in technology-based learning environments. The goal is to translate fine-grained behavioral data into meaningful evidence about students’ cognitive and metacognitive processes. These enhanced understandings of students’ mental processes and competencies are then used to guide the design of and evaluate instructional materials embedded in educational technology.
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Dan Wang
Research Fellow
BioDan Wang is a research fellow at Stanford's Hoover History Lab. He was previously a fellow at the Yale Law School’s Paul Tsai China Center, and, from 2017 to 2023, he worked in China as the technology analyst at Gavekal Dragonomics. Dan is one of the most-cited experts on China’s technology capabilities. In addition to a widely circulated annual letter from China, Dan’s essays have appeared in the New York Times, Foreign Affairs, the Financial Times, New York Magazine, Bloomberg Opinion, and The Atlantic. He has given keynotes in corporate and university settings, and he has been a guest on the ‘Ezra Klein Show,’ Bloomberg’s ‘Odd Lots,’ as well other prominent podcasts. He is the author of Breakneck: China’s Quest to Engineer the Future, Fall 2025 from W. W. Norton (US) and Penguin (UK).
