School of Engineering
Showing 1,661-1,680 of 6,464 Results
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Swapnil Gandhi
Ph.D. Student in Computer Science, admitted Autumn 2022
BioMy broad research interests include distributed systems and cloud computing – in particular, I am interested in the system-side problems associated with learning, deploying, and operationalizing machine learning models at scale.
Previously, I was a Research Fellow at Microsoft Research India and prior to that obtained my Masters (by Research) in Computer and Data Systems from the Indian Institute of Science (IISc). -
Surya Ganguli
Associate Professor of Applied Physics, Senior Fellow at the Stanford Institute for Human-Centered AI and Associate Professor, by courtesy, of Neurobiology and of Electrical Engineering
Current Research and Scholarly InterestsTheoretical / computational neuroscience
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Andrew Kean Gao
Masters Student in Computer Science, admitted Autumn 2023
BioImmersed in the AI space since 2019, Andrew is excited by the potential of AI/ML in all domains of industry, academia, and life. He has built several popular projects in AI, such as Lightspeed Multithreading and BibleGPT. His team won a Grand Prize at Stanford TreeHacks 2023 out of nearly 2,000 competitors. Beyond AI, Andrew has conducted research in molecular biology, disease diagnosis, drug design, and computational immunology.
Software developer and student at Stanford University specializing in artificial intelligence and large language models.
Personal websites:
https://andrew.md/
https://andrewgao.dev/ -
Grace Gao
Associate Professor of Aeronautics and Astronautics and, by courtesy, of Electrical Engineering
BioGrace Gao is an associate professor in the Department of Aeronautics and Astronautics at Stanford University, with a courtesy appointment in the Electrical Engineering Department. She leads the Navigation and Autonomous Vehicles Laboratory (NAV Lab) and serves as co-director of the Stanford AI Safety Center and co-lead of the Stanford SystemX Robotics area. Her research focuses on robust and secure perception, localization, and navigation, with applications in crewed and uncrewed aerial vehicles, autonomous cars, humanoid robots, and space robotics.
Prof. Gao has won numerous awards, including the NSF CAREER Award, the Institute of Navigation Early Achievement Award, the RTCA William E. Jackson Award, and the Inspiring Early Academic Career Award from Stanford University. In addition to her research achievements, she has received significant recognition for her teaching and advising, including the AIAA Stanford Chapter Excellence in Advising Award and the Excellence in Teaching Award.
