School of Engineering
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Assistant Professor of Electrical Engineering and, by courtesy, of Materials Science and Engineering
Current Research and Scholarly InterestsOptical engineering plays a major role in imaging, communications, energy harvesting, and quantum technologies. We are exploring the next frontier of optical engineering on three fronts. The first is new materials development in the growth of crystalline plasmonic materials and assembly of nanomaterials. The second is novel methods for nanofabrication. The third is new inverse design concepts based on optimization and machine learning.
Ph.D. Student in Management Science and Engineering, admitted Autumn 2017
BioLin Fan is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.
Research interests: statistical methods for stochastic processes, stochastic simulation, online learning and decision-making
Ph.D. Student in Materials Science and Engineering, admitted Autumn 2019
BioUndergraduate, Zhejiang University 2015-2019
Visiting Student Researcher, Arron Lindenberg's group, Dept. of Materials Science and Engineering, Stanford 07.2018-09.2018
Ph.D Student, Dept. of Materials Science and Engineering, Stanford 09.2019-
Director, Edward L. Ginzton Laboratory, Professor of Electrical Engineering, Senior Fellow at the Precourt Institute for Energy and Professor, by courtesy, of Applied Physics
BioFan's research involves the theory and simulations of photonic and solid-state materials and devices; photonic crystals; nano-scale photonic devices and plasmonics; quantum optics; computational electromagnetics; parallel scientific computing.
Ph.D. Student in Bioengineering, admitted Autumn 2018
Masters Student in Bioengineering, admitted Summer 2019
BioI work on understanding the statistical physics and optimization principles of organized biological systems. Specifically, I use planarian as model systems to study cell collective behavior and the molecular mechanisms of adaption.
I am interested in a lot of things: development, evolution, ecology, statistical physics, dynamic systems, and biophysics. I also spend time on sequencing and fluorescence imaging technology required for depicting concrete biological systems.