School of Engineering
Showing 501-550 of 636 Results
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Kirsten Stasio
Adjunct Lecturer, Atmosphere and Energy
BioKirsten Stasio is CEO of the Nevada Clean Energy Fund (NCEF), Nevada's nonprofit green bank. She also serves as an Adjunct Lecturer at Stanford University, where she co-teaches Understand Energy, a course that gives students the knowledge and tools to engage in the energy and sustainability sectors.
Throughout her career, Kirsten has strived to translate her life-long passion for environmental sustainability into real impact across the policy, education, corporate, and investment sectors. Before joining NCEF, Kirsten worked at MAP Energy, an energy investment firm, where she helped scale investments in renewable energy across the US. Her early career began at the World Resources Institute (WRI), a non-profit, where she worked with policymakers and other stakeholders to implement climate finance solutions. While getting her graduate degree at Stanford, Kirsten worked at Pacific Gas and Electric (PG&E) where she helped launched a new energy efficiency initiative with large businesses in the Bay Area. Kirsten also worked at Apple to implement energy measures at Apple's headquarters, retail stores, and data centers.
Kirsten began teaching at Stanford in early 2015 after graduating from Stanford with an MBA and an MS degree in the Emmet-Interdisciplinary Program on Environment and Resources (E-IPER). Kirsten also earned a dual BA in International Relations and French from the University of California, Davis.
The origins of Kirsten's passion for sustainability trace back to her childhood when she spent time on her family’s fourth-generation ranch in the Sierra Nevada foothills, a place where she enjoys spending time today with her husband and daughter. -
Tom A.D. Stone
Ph.D. Student in Electrical Engineering, admitted Autumn 2025
Current Research and Scholarly InterestsEEG Signal Processing for Clinical Neuroscience
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David G Stork
Adjunct Professor, Materials Science and Engineering
BioDavid G. Stork teaches and performs research in several disciplines:
• Rigorous computer image analysis of fine art paintings and drawings
• Computational sensing and imaging with metasurface optical elements
• Applications of computer algebra
He is a graduate in Physics from MIT and the University of Maryland, and studied Art History at Wellesley College. He was Chief Scientist of the American arm of the $15B international Ricoh Company and Rambus Fellow at Rambus, Inc. He has held faculty positions in Physics, Mathematics, Computer Science, Statistics, Electrical Engineering, Computation & Mathematical Engineering, Neuroscience, Psychology, and Art and Art History variously at Wellesley and Swarthmore Colleges, Clark, Boston, and Stanford Universities, and the Technical University of Vienna. He is a Fellow of IEEE, OSA, SPIE, IS&T, IAPR, IARIA, AAIA, IAII, and a Senior Life Member of ACM and was a 2023 Leonardo@Djerassi Fellow. He holds 64 US patents, and has published over 220 peer-reviewed scholarly articles and nine books/proceedings volumes, including "Pattern classification" (2nd ed.), "Seeing the light: Optics in nature, photography, color, vision, and holography," "HAL's Legacy: 2001's computer as dream and reality," and "Pixels & paintings: Foundations of computer-assisted connoisseurship." -
Maxwell Bradley Strange
Ph.D. Student in Electrical Engineering, admitted Autumn 2018
BioMax is a Ph.D. student in Electrical Engineering advised by Mark Horowitz. His research focuses on developing infrastructure and tools to facilitate agile hardware development as part of the ongoing efforts by the Stanford AHA! Research Center. His research interests also include domain-specific hardware architectures, hardware/software co-design, and embedded systems design. He graduated from the University of Wisconsin in 2017 with a B.S. in Computer Engineering and Computer Science.
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Robert Street
William Alden and Martha Campbell Professor in the School of Engineering, Emeritus
Current Research and Scholarly InterestsStreet focuses on numerical simulations related to geophysical fluid motions. His research considers the modeling of turbulence in fluid flows, which are often stratified, and includes numerical simulation of coastal upwelling, internal waves and sediment transport in coastal regions, flow in rivers, valley winds, and the planetary boundary layer.
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Haotian Su
Ph.D. Student in Electrical Engineering, admitted Autumn 2022
BioHaotian Su is a Ph.D. candidate in Electrical Engineering at Stanford University, co-advised by Prof. Eric Pop and Prof. Shan X. Wang. He received his B.S. in EE from National University of Singapore (2022). His research focuses on developing novel materials and thin films for energy-efficient memories and computing, including magnetic random-access memory (MRAM), oxide transistors, and other nanoscale devices.
