School of Engineering
Showing 501-600 of 2,461 Results
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Oluwapelumi Egunjobi
Ph.D. Student in Civil and Environmental Engineering, admitted Summer 2025
Masters Student in Civil and Environmental Engineering, admitted Summer 2026BioOluwapelumi is interested in optimizing the built environment for human well-being. She is interested in the intersection of buildings, equity, and sustainability.
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Efe Eroz
Ph.D. Student in Mechanical Engineering, admitted Autumn 2026
BioMy personal website and LinkedIn can be found at https://efeeroz.github.io/ and https://www.linkedin.com/in/efe-eroz/ respectively. Please feel free to get in touch at efe@stanford.edu .
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Jess Fairlie
Ph.D. Student in Civil and Environmental Engineering, admitted Winter 2026
BioJess Fairlie is a PhD student in the Baker lab, studying cross-shore sediment transport under infragravity waves. Jess completed her BS in Environmental Systems Engineering in 2024, and her MS in Environmental Engineering in 2025, both at Stanford University. Beyond her academic passion for waves, Jess loves everything related to the ocean, from surfing to tidepooling to SCUBA diving. In her free time she can be found enjoying the waves, rock climbing, and knitting.
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Haoquan Fang
Ph.D. Student in Computer Science, admitted Autumn 2026
BioHaoquan is an incoming CS PhD student at Stanford University, advised by Prof Fei-Fei Li as part of the Stanford Vision and Learning Lab. Currently, he is also a research intern at NVIDIA Cosmos Lab, working with VP Ming-Yu Liu and Dr Haotian Zhang.
Previously, he has spent time at Ai2 PRIOR and Ai2 Robotics. He obtained his BS degree from the University of Washington, where he double majored in computer science (with honors) and statistics, and minored in mathematics. He was advised by Prof Ranjay Krishna, Prof Ali Farhadi, Prof Dieter Fox, and Prof Jenq-Neng Hwang. He was also mentored by and collaborated with Prof Jiafei Duan and Dr Ying Jin.
His research interests lie broadly in robot learning. In particular, he focuses on developing foundation models for robotic manipulation that are deployable in the real world and unlock novel capabilities. -
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. -
Jill Grey Ferguson
Ph.D. Student in Civil and Environmental Engineering, admitted Winter 2026
BioJill Grey Ferguson is a PhD student in the Emmett Interdisciplinary Program in Environment and Resources. Jill is also the co-founder of LibertyHomes, a nonprofit dedicated to scaling inclusive utility investment systems with robust consumer protections that make home energy upgrades accessible to all people without credit checks, upfront cost, or debt. Prior to starting LibertyHomes, Jill was a Truman-Albright Fellow at the American Council for an Energy-Efficient Economy where she led the Rural Research Initiative. She has worked at the US Department of Energy, Office of Energy Efficiency and Renewable Energy as a solar technology fellow and as a photovoltaic cell researcher at the Massachusetts Institute of Technology. Jill earned a bachelor of science in material science engineering from the University of Virginia.
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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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Hajime Fujita
Ph.D. Student in Bioengineering, admitted Autumn 2022
Ph.D. Minor, ChemistryCurrent Research and Scholarly InterestsBiosensors
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Sydney Fultz-Waters
Ph.D. Student in Materials Science and Engineering, admitted Summer 2024
BioSydney 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.
