Stanford University
Showing 33,201-33,250 of 36,322 Results
-
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.
-
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.
-
Faya Wang
Lead Scientist, SLAC National Accelerator Laboratory
Bio• 20-year scientific career in academia and national lab
• Pursuing research leadership position in high-impact cutting-edge tech organization
• Extensive hands on experience on particle accelerator and rf system
• Electron beam dynamics, beam optics, control system dynamics, accelerator design, electrodynamics, electromagnetic field, high power microwave system, beam and rf diagnostics, electromagnetic field design -
Ge Wang
Associate Professor of Music and Senior Fellow at the Stanford Institute for Human-Centered AI
BioGe Wang is an Associate Professor at Stanford University in the Center for Computer Research in Music and Acoustics (CCRMA). He specializes in the art of design and computer music — researching programming languages and interactive software design for music, interaction design, mobile music, laptop orchestras, expressive design of virtual reality, aesthetics of music technology design, and education at the intersection of computer science and music. Ge is the author of the ChucK music programming language, the founding director of the Stanford Laptop Orchestra (SLOrk). Ge is also the Co-founder of Smule (reaching over 200 million users), and the designer of the iPhone's Ocarina and Magic Piano. Ge is a 2016 Guggenheim Fellow, and the author of ARTFUL DESIGN: TECHNOLOGY IN SEARCH OF THE SUBLIME—a book on design and technology, art and life‚ published by Stanford University Press in 2018 (see https://artful.design/)
-
Gordon Wang
Clinical Associate Professor, Psychiatry and Behavioral Sciences
BioGordon Wang received his Bachelors of Arts and Science from the University of California, Davis in 2000 majoring in Comparative literature and Genetics. He received his PhD under Dr. Mu-ming Poo at the University of California, Berkeley in 2005 studying the role of ion channels in mediating neuronal growthcone guidance decisions. As a postdoctoral scholar in the lab of Dr. Stephen Smith at Stanford University, Gordon developed a computational architecture for the detailed study of molecular diversity in synapses and using this system, he studied the diverse role of synaptic diversity in neurodevelopmental diseases, such as fragile x syndrome. In a co-postdoc in Dr. Philippe Mourrain's lab, he studied the dynamic plasticity of synapses in sleep and circadian cycles in larval zebrafish using multi-photon microscopy. The Wang lab focuses on developing imaging tools to deeply analyze proteins, mRNA and lipids at the synapses, and understand how synaptic heterogeneity affect the function of neural circuits throughout development and aging and in diseases such as autism and fragile x syndrome.
-
Grace Wang
Senior Software Developer, Enterprise Technology
Current Role at StanfordSoftware team lead and architect with 20+ years of experience managing and developing enterprise scale custom applications. A seasoned Stanford technical leader that sets vision, provides guidance and drives initiatives for the team. Self-driven and highly motivated, I practice open communication and encourage collaboration across functional teams to achieve objectives.
Responsible for defining project scope, analyzing requirements and designing deliverables for various administrative and research software solutions. Lead and collaborate with cross functional teams including product managers, security/privacy offices, infrastructure teams and project team members, to deliver solution in time. Representing the AAS team to propose SOW (statement of work) and negotiate service agreements with business clients. -
Hai Wang
Silas Palmer Professor of Engineering
On Leave from 04/01/2026 To 06/30/2026BioHai Wang is Silas H. Palmer Professor of Engineering in the Department of Mechanical Engineering at Stanford University. His research interests are high-speed propulsion, combustion, and renewable energy conversion. His current research topics include combustion chemistry of conventional and renewable fuels, detonation, high-speed propulsion, quantum-chemistry guided battery materials design, and transport theories. He is the author and coauthor of recent papers in scholarly journals, including "Stable sodium-sulfur electrochemistry enabled by phosphorus-based complexation" in PNAS, “Geometric modeling and analysis of detonation cellular stability" in Proceedings of the Combustion Institute, "Flame-formed carbon nanoparticles exhibit quantum dot behaviors" in PNAS, "Nanoparticles in dilute gases: Equivalence of momentum accommodation and surface adsorption" in Physical Review E, "A Physics-based approach to modeling real-fuel combustion chemistry. I. Evidence from experiments, and thermodynamic, chemical kinetic and statistical considerations" in Combustion and Flame, and “Formation of nascent soot and other condensed-phase materials in flames” in Proceedings of the Combustion Institute. He was the Editor-in-Chief of Progress in Energy and Combustion Science, a highly influential energy journal published by Elsevier with an impact factor of 35.3 (2021). Currently, he serves as the President of the Combustion Institute - an international, non-profit, educational and scientific society that promotes and disseminates research activities in all areas of combustion science and technology for the advancement of many communities around the world.
-
Haojie Wang
Postdoctoral Scholar, Medicine
BioHi, I am a Postdoctoral Fellow at Stanford Data Science, with a joint appointment at School of Medicine. I am interested in using insights from data science and remote sensing to address the challenges of sustainable development. I develops GeoAI approaches for detecting labor trafficking in supply chains, population health monitoring, natural hazard forecasting, and advancing understanding of how environmental risks interact with human health.
