Stanford University
Showing 33,881-33,900 of 37,041 Results
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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.
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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.
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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.
