Stanford University
Showing 31,921-31,940 of 34,952 Results
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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
Hoover Research Fellow, HOOVER RESEARCH
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).
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Ellen Wang
Clinical Professor, Anesthesiology, Perioperative and Pain Medicine
Clinical Professor, Clinical InformaticsBioEllen Wang, MD is a Clinical Associate Professor of Pediatric Anesthesiology and Medical Director of Clinical Informatics for Perioperative Services at Lucile Packard Children’s Hospital Stanford. She is board-certified in Pediatric Anesthesiology and Clinical Informatics, with particular emphasis on EHR enhancement and optimization projects that support surgical, nursing, and pediatric and obstetric anesthesia workflows. She is also Chief of Operations of the Stanford Chariot Program, combining her interest in clinical care, process improvement, data analytics and research with virtual/augmented reality technologies to advance and evolve standards in patient care.
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Emily Wang
Masters Student in Computer Science, admitted Autumn 2026
BioEmily is a Software Engineer at Meta working within Reality Labs’ Wearables with interests in AI, machine learning, agentic systems, and multimodal computing. She earned dual bachelor’s degrees in Computer Science and Software Engineering from UC Irvine, where she worked on research involving intelligent systems, computer vision, and multi-agent pathfinding.
Alongside her work at Meta, Emily is pursuing Stanford’s part-time MS in Computer Science through the Honors Cooperative Program, with a specialized focus on AI-powered spatial audio, XR immersive sonics, and edge adaptive AI systems for wearable devices. She is particularly interested in combining strong software engineering with AI research to build practical, reliable systems for voice, spatial audio, wearables, and human-centered AI. Her long-term goal is to contribute to meaningful AI products while developing deeper research expertise in AI systems and multimodal intelligence.She is open to academic and industry collaboration opportunities.
