School of Engineering
Showing 1-50 of 80 Results
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Lin Fan
Ph.D. Student in Management Science and Engineering, admitted Autumn 2017
BioLin Fan is a Ph.D. candidate in Operations Research within the Department of Management Science and Engineering at Stanford University.
Research interests: sequential learning and decision-making, stochastic modeling and simulation, statistical inference for stochastic processes -
Lingling Fan
Ph.D. Student in Electrical Engineering, admitted Autumn 2018
BioLingling Fan is a Ph.D. candidate in electrical engineering at Stanford University. Prior to her appointment at Stanford, she received her Bachelor of Science degree in physics, while she worked in the Department of Applied Physics at Yale University. Her research interests are in computational, experimental, and theoretical studies of photonic structures and devices, especially for neural networks, information processing, and radiative cooling applications. She has published more than 21 papers in this field, has given five invited talks at major international conferences, and currently holds two U.S. patents. In addition to her academic research, she completed internships at SWS research Shanghai in 2018 summer and X the Moonshot Factory of Google LLC in 2022 summer working on industry research projects. Lingling is a recipient of the National Scholarship from the Ministry of education of China from 2015 to 2018, a Hong Kong Shan-Yuan (C. W. Chu) scholarship in 2016, a Kathy Xu scholarship in 2018, an Engineering Fellowship from Stanford University in 2018, a CLEO presenter award in 2020, a DARE fellowship finalist in 2021 and an EECS rising star travel grant in 2022.
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Qingyuan Fan
Ph.D. Student in Materials Science and Engineering, admitted Autumn 2019
BioPh.D Student, Dept. of Materials Science and Engineering, Stanford 09.2019 - present
Undergraduate, Zhejiang University 2015-2019
Visiting Student Researcher, Aaron Lindenberg's group, Dept. of Materials Science and Engineering, Stanford 07.2018-09.2018 -
Yuhang Fan
Ph.D. Student in Bioengineering, admitted Autumn 2018
BioI work on understanding the statistical physics and optimization principles of organized biological systems. Specifically, I use planarian as model system to study cell collective behavior and the molecular mechanisms of adaption.
I am interested in a lot of things: development, evolution, statistical physics, dynamic systems, and biophysics. I also spend time developing sequencing and fluorescence imaging technology required for depicting concrete biological systems. -
Steven Feng
Ph.D. Student in Computer Science, admitted Autumn 2022
BioI'm a 1st-year Stanford Computer Science PhD student and NSERC PGS-D scholar, working with the Stanford AI Lab and Stanford NLP Group. I was a master's student at Carnegie Mellon University (CMU) and an undergraduate student at the University of Waterloo.
My main goal is to teach machines how to understand and generate human language and vision. To do so, I have explored ways to improve the controllability of language and visual generation models, incorporate and assess their reasoning capabilities, and integrate structured, multimodal, and linguistic information to enhance them.
I worked with Eduard Hovy at CMU's Language Technologies Institute and Malihe Alikhani at the University of Pittsburgh on research projects involving language generation, semantics, and data augmentation. Earlier, I worked at the University of Waterloo with Jesse Hoey.
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. -
Aidan James Fitzpatrick
Ph.D. Student in Electrical Engineering, admitted Autumn 2018
BioAIDAN FITZPATRICK received the B.S. degree in electrical and computer engineering from the University of Massachusetts Amherst, in 2018, and the M.S. degree in electrical engineering from Stanford University in 2020, where he is currently pursuing the Ph.D. degree in electrical engineering.
His current research interests are in computational imaging - specifically at the intersection of electromagnetics, acoustics, and signal processing for the codesign of imaging algorithms and system hardware for non-contact thermoacoustic/photoacoustic, and millimeter wave applications. -
Scott Fleming
Ph.D. Student in Biomedical Informatics, admitted Autumn 2018
Masters Student in Computer Science, admitted Autumn 2019BioScott Fleming is a Ph.D. Student in Stanford's Biomedical Informatics Training Program, Department of Biomedical Data Science. He completed his B.S. in Mathematical and Computational Science at Stanford University. During that time, he worked with Dr. Leanne Williams to build pipelines for analyzing heterogeneous, high-dimensional datasets in order to discover patterns of brain activity that contribute to anxiety and depression. His most recent work has focused on developing machine learning methods to make accurate and effective crowd-powered diagnoses for children with autism and other developmental disorders.
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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.
