School of Engineering
Showing 1-72 of 72 Results
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Chaofei Fan
Ph.D. Student in Computer Science, admitted Autumn 2020
BioI’m a Ph.D. student at Stanford unraveling the future of brain-computer interfaces to revolutionize communication.
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Steven Feng
Ph.D. Student in Computer Science, admitted Autumn 2022
BioI'm a Stanford Computer Science PhD student and NSERC PGS-D scholar, working with the Stanford AI Lab and Stanford NLP Group. I am co-advised by Michael C. Frank and Noah Goodman as part of the Language & Cognition (LangCog) and Computation & Cognition (CoCo) Labs. I am grateful to receive support from Amazon Science, Microsoft AFMR, and StabilityAI.
My ultimate goal is to blend knowledge from multiple disciplines to advance AI research. My current research centers around aligning foundation model and human learning and capabilities, particularly in reasoning, generalization, and efficiency. I have explored ways to improve the controllability of language and visual generation models, and integrate structured and multimodal information to enhance their reasoning capabilities.
I'm investigating psychologically and cognitively inspired methods for continual learning, self-improvement, and advanced reasoning in foundation models. I'm also exploring methods to bridge the data efficiency gap between human and model learning while shedding further light on human cognitive models and our efficient language and vision acquisition capabilities.
Previously, I was a master's student at Carnegie Mellon University (CMU), where I worked with Eduard Hovy and Malihe Alikhani on language generation, data augmentation, and commonsense reasoning. Before that, I was an undergraduate student at the University of Waterloo, where I worked with Jesse Hoey on dialogue agents and text generation.
My research contributions have been recognized with several publications at major conferences and a best paper award at INLG 2021. I am also an Honorable Mention for the Jessie W.H. Zou Memorial Award and CRA Outstanding Undergraduate Researcher Award.
I am a co-instructor for the Stanford CS25 Transformers course, and mentor and advise several students. I also led the organization of CtrlGen, a controllable generation workshop at NeurIPS 2021, and was involved in the GEM benchmark and workshop for NLG evaluation.
In my free time, I enjoy gaming, playing the piano and guitar, martial arts, and table tennis. I am also the founder and president of the Stanford Piano Society. -
Michele Ferretti
Ph.D. Student in Mechanical Engineering, admitted Winter 2024
Masters Student in Mechanical Engineering, admitted Spring 2024BioMS/PhD Student and Hypersonics Researcher in the High-Temperature Gasdynamics Laboratory (Hanson group).
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Tim Flint
Ph.D. Student in Mechanical Engineering, admitted Autumn 2017
BioI am a PhD candidate in the Department of Mechanical Engineering at Stanford University working with Professor Parviz Moin . My PhD research is on the receptivity of the flow field around high-speed bodies. I hope to understand how free-stream disturbances excite instabilities that may grow and become relevant to boundary layer transition in high-speed flight.
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Ian Fu
Ph.D. Student in Aeronautics and Astronautics, admitted Autumn 2024
Current Research and Scholarly InterestsPlanetary Science, Ocean worlds and Icy Satellites, Space Missions, Autonomy
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Zipeng Fu
Ph.D. Student in Computer Science, admitted Autumn 2022
BioZipeng Fu is a CS PhD student at Stanford AI Lab, advised by Chelsea Finn. His research focuses on deployable robot systems and learning in the unstructured open world. His representative work includes Mobile ALOHA, Robot Parkour Learning, and RMA, receiving CoRL 2023 & 2022 Best System Finalist awards. His research is supported by Stanford Graduate Fellowship as a Pierre and Christine Lamond Fellow. Previously, he was a student researcher at Google DeepMind. He completed his master's at CMU and bachelor’s at UCLA. Homepage: https://zipengfu.github.io/
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Hajime Fujita
Ph.D. Student in Bioengineering, admitted Autumn 2022
Masters Student in Bioengineering, admitted Spring 2024Current Research and Scholarly InterestsBiosensors
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Sydney Fultz-Waters
Ph.D. Student in Materials Science and Engineering, admitted Summer 2024
Masters Student in Materials Science and Engineering, admitted Autumn 2023BioSydney is a Ph.D student in the Materials Science and Engineering department at Stanford University, co-advised by Prof. Shan X. Wang and Prof. Eric Pop. She received her B.S. in Materials Engineering from California Polytechnic State University, San Luis Obispo in 2023. Her research focuses on low dimensional magnetic materials for electronic applications.
