Stanford University
Showing 451-460 of 482 Results
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Anita Wood
Assistant Director, Professional Programs, Doerr School of Sustainability, Stanford Engineering Center for Global and Online Education
Current Role at StanfordAnita Wood works on both the Stanford Doerr School of Sustainability (SDSS) External Education & Mobilization (EE&M) team and the Stanford Center for Global and Online Education team. She manages product development and program operations for the Stanford Online Energy Innovation and Emerging Technologies Program. Additionally, she oversees the development of courses and programs created by the SDSS EE&M team.
These courses cover a range of topics, including Strategies for Sustainability, Energy Storage, Water and the Circular Economy, the Economics of the Clean Energy Transition, Grid Integration, Electric and Hybrid Vehicles, and Wind, Water, Solar, and Storage for a Sustainable Future. The newest program is designed for board members, equipping them with essential knowledge spanning the science, business, and stewardship of sustainability.
Please follow the links at the right of this page to learn more about each program and all course offerings. -
Elijah Woolery
Lecturer, d.school
BioElijah trained in the Product Design program at Stanford University, where he now teaches as a lecturer. He has a background in photography and filmmaking, as well as product & industrial design. He is currently the Director of Design Education at InVision, a software design and collaboration platform.
After working as a lead design engineer with Light & Motion, a vertically integrated manufacturer of consumer underwater video and photography equipment, he pursued graduate studies in marine biology at Moss Landing Marine Laboratories, and co-founded the print magazine Wetpixel Quarterly in 2007. He was a founder in the second class of Innovation Endeavor's Runway Program, a venture-backed startup accelerator backed by Eric Schmidt's fund.
He also founded Out of the Deep Blue, a design consultancy, where he worked on web and mobile applications for clients like Genentech and Kaiser Permanente. As a life-long worshiper of the ocean, he loves to surf, dive, and kayak. -
Jiajun Wu
Assistant Professor of Computer Science and, by courtesy, of Psychology
BioJiajun Wu is an Assistant Professor of Computer Science and, by courtesy, of Psychology at Stanford University, working on computer vision, machine learning, robotics, and computational cognitive science. Before joining Stanford, he was a Visiting Faculty Researcher at Google Research. He received his PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. Wu's research has been recognized through the Young Investigator Programs (YIP) by ONR and by AFOSR, the NSF CAREER award, the Okawa research grant, the AI's 10 to Watch by IEEE Intelligent Systems, paper awards and finalists at ICCV, CVPR, SIGGRAPH Asia, ICRA, CoRL, and IROS, dissertation awards from ACM, AAAI, and MIT, the 2020 Samsung AI Researcher of the Year, and faculty research awards from Google, J.P. Morgan, Samsung, Amazon, and Meta.
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Lei Xing
Jacob Haimson and Sarah S. Donaldson Professor and Professor, by courtesy, of Electrical Engineering
Current Research and Scholarly Interestsartificial intelligence in medicine, medical imaging, Image-guided intervention, molecular imaging, biology guided radiation therapy (BGRT), treatment plan optimization
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Renyuan Xu
Assistant Professor of Management Science and Engineering
BioRenyuan Xu is an assistant professor of Management Science and Engineering (MS&E) at Stanford University. Prior to joining Stanford, she held positions at New York University (2024-2025) and the University of Southern California (2021–2024), and was a Hooke Research Fellow at the Mathematical Institute, University of Oxford (2019–2021). She received her Ph.D. in Operations Research from the University of California, Berkeley in 2019. Renyuan's current research interests include mathematical finance, stochastic analysis, stochastic controls and games, and machine learning theory. She received an NSF CAREER Award in 2024, the SIAM Activity Group on Financial Mathematics and Engineering Early Career Prize in 2023, and two JP Morgan AI Faculty Research Awards in 2022 and 2025.
