School of Engineering
Showing 2,201-2,300 of 2,827 Results
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Michael A. Sommeling
Ph.D. Student in Electrical Engineering, admitted Autumn 2024
Current Research and Scholarly Interestsbrain-computer interface, electrophysiology, nanofabrication, retinal prosthesis
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Adrien Specht
Ph.D. Student in Computational and Mathematical Engineering, admitted Spring 2024
BioI'm a PhD student in the Institute for Computational and Mathematical Engineering (ICME) at Stanford University, mentored by Prof. Mignot. My research is at the intersection of artificial intelligence and sleep medicine, focusing on developing predictive models for circadian rhythms and sleep debt from proteomics data. I adopt a problem-oriented approach, selecting methods based on the data and research questions at hand. My techniques range from linear regression to sophisticated deep learning frameworks, aiming to extract maximal insights from the data. I also explore the use of unsupervised and semi-supervised learning, and am interested in the applications of multimodal and foundation models in biology.
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Skyler St. Pierre
Ph.D. Student in Mechanical Engineering, admitted Autumn 2020
Current Research and Scholarly Interestsbiomechanics, machine learning, computational modeling
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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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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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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.
