School of Engineering
Showing 201-250 of 298 Results
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Josselin Somerville Roberts
Masters Student in Computer Science, admitted Autumn 2022
Current Research and Scholarly InterestsI am interested in the intersection of machine learning and robotics, particularly in applying deep learning to robotics. This includes Computer Vision, Reinforcement Learning, and also Natural Language Processing.
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Adrien Specht
Ph.D. Student in Computational and Mathematical Engineering, admitted Spring 2024
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2022BioAdrien Specht is a master’s student at both ENS Paris-Saclay and Stanford University. He majored in electrical, computational, and mathematical engineering with the ambition to advance Sleep Sciences. In France, he was one of the sleep pioneers working with the start-up Dreem on a new deep learning strategy to conduct EEG spectral analysis. Now in California, he is assisting Dr. Mignot with data-oriented research such as studying sleep depth and circadian rhythm with machine learning and proteomics. To him, the best moment of the day is after lunch with a coffee, a nice sunbath, and enjoyable sleep talks with colleagues.
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Kavya Sreedhar
Ph.D. Student in Electrical Engineering, admitted Autumn 2019
BioKavya Sreedhar is an electrical engineering PhD candidate advised by Mark Horowitz. Her research interests include architecture design and developing hardware accelerators for cryptography and machine learning applications. On the cryptography side, she has worked on designing a fast extended GCD accelerator for constant-time modular inversion and verifiable delay functions. On the deep learning side, she is working on dynamically adapting the execution of state-of-the-art models for use in real-time systems and accelerating dynamic transformer models for computer vision in an ongoing collaboration with NVIDIA. She previously worked with the Agile Hardware (AHA) Project in developing Lake, a parameterizable memory generator that can be configured at runtime to support different image processing and machine learning applications. As part of her research, she has worked on taping out three chips in SKY130nm, GF12nm, and TSMC16nm. Kavya is supported by the Quad Fellowship (2023 to 2024) and Stanford's Knight-Hennessy Graduate Fellowship (2019 to 2022). She received a B.S. in Electrical Engineering and BEM (Business, Economics, & Management) from Caltech in 2019 and a M.S. in Electrical Engineering from Stanford in 2021.
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Maya Srikanth
Masters Student in Computer Science, admitted Autumn 2021
Current Research and Scholarly InterestsAI for climate change, text2image generative models, NLG, GraphML
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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