School of Engineering
Showing 1-20 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.
