School of Engineering
Showing 601-700 of 2,285 Results
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Chen Geng
Ph.D. Student in Computer Science, admitted Autumn 2023
Masters Student in Computer Science, admitted Autumn 2026BioI'm a CS Ph.D. student at Stanford, advised by Prof. Jiajun Wu. My research lies at the intersection between Graphics, 3D Vision, and Machine Learning. Previously, I got my bachelor's degree in Computer Science at the School of Computer Science and Chu Kochen Honors College, Zhejiang University. During my undergraduate, I was fortunate to work closely with Prof. Xiaowei Zhou and Prof. Jiajun Wu on several research projects.
You can find more information on my homepage: https://chen-geng.com -
Madison George
Ph.D. Student in Bioengineering, admitted Autumn 2023
Current Research and Scholarly InterestsExertional compartment syndrome (ECS) is a painful condition characterized by abnormally high muscle compartment pressures induced by exercise. The diagnostic procedure for ECS requires the insertion of a needle into the muscle to directly quantify pressure, which is a barrier to both patients and clinicians. We will develop and evaluate new MRI technologies to (1) increase understanding of the pathophysiology of this condition and (2) Improve clinical diagnosis of ECS.
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Antony Georgiadis
Ph.D. Student in Materials Science and Engineering, admitted Autumn 2024
Superuser, Stanford Nano Shared FacilitiesCurrent Research and Scholarly InterestsInterested in using light to improve our understanding of the world around us through novel optical sensing devices and computational techniques.
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Siya Goel
Masters Student in Computer Science, admitted Autumn 2023
BioClass of 2026
Computer Science Major
Biology Minor -
Jason Goldberg
Ph.D. Student in Computer Science, admitted Autumn 2023
BioStanford Advisor # Position
Noah Goodman # Doctoral (Program)
John Mitchell # Doctoral Dissertation Co-Advisor (AC)
email: jasonmg@stanford.edu -
Martin Jose Gonzalez
Ph.D. Student in Management Science and Engineering, admitted Autumn 2025
BioA PhD student in Management Science & Engineering, Martin researches the impact of AI on organizations through the Center for Work, Technology and Organization.
With master's degrees from Columbia and the London School of Economics, Martin frequently lectures at top-tier institutions including Stanford, Wharton, and INSEAD. His professional background includes roles at BCG and Google, where he focused on organizational design, cultural transformation, and leadership development. -
Jiyoun Ha
Masters Student in Computer Science, admitted Autumn 2026
BioMachine Learning Engineer @ Google. Currently focusing on efficient model training and inference.
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Kai Douglas Hammond
Masters Student in Mechanical Engineering, admitted Autumn 2024
BioClass of 2027. Stanford Undergraduate majoring in Mechanical Engineering.
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Yinbin Han
Ph.D. Student in Management Science and Engineering, admitted Autumn 2025
BioYinbin Han is a Ph.D. student in the Department of Management Science and Engineering at the Stanford University. Before joining Stanford, Yinbin was a Ph.D. student in the Department of Finance and Risk Engineering at the New York University from 2024 - 2025 and in the Epstein Department of Industrial and Systems Engineering at the University of Southern California from 2021 - 2024. Yinbin is fortunate to be co-advised by Prof. Renyuan Xu (Stanford) and Prof. Meisam Razaviyayn (USC). Yinbin obtained his B.S. in Mathematics from the Chinese University of Hong Kong, Shenzhen, where he was advised by Prof. Zizhuo Wang. Yinbin's research interests include diffusion models, reinforcement learning, stochastic control and nonconvex optimization.
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Karolina Hasiec
Masters Student in Bioengineering, admitted Autumn 2025
BioKarolina’s research at King’s College London focused on neuroimaging and on how analytical methods can be tailored to the unique characteristics of different imaging tools. At Stanford, she is supporting research that investigates whether myelin plasticity can serve as a tractable therapeutic target to slow the progression of SYNGAP1-related intellectual disability - a rare neurodevelopmental disorder characterized by severe, intractable epilepsy, significant cognitive impairment, and recognized as one of the leading genetic causes of autism. Through this work, she contributes to advancing understanding of how maladaptive myelination may underlie disease progression and to exploring new strategies for therapeutic intervention.
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Alisa Hathaway
Ph.D. Student in Electrical Engineering, admitted Autumn 2022
Current Research and Scholarly Interestsflexible electronics; neuroscience, medical devices
