School of Engineering
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Ph.D. Student in Management Science and Engineering, admitted Autumn 2015
BioMichael Fairley is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.
Research Area: Health Policy
Research Abstract: Opioid dependence has become a national public health crisis. Veterans are particularly affected. The Veterans Affairs Health System (VA) must prioritize interventions under increasing budgetary constraints. Michael Fairley is developing a mathematical decision model to help the VA determine a portfolio of interventions to invest in that will maximize health and economic benefits. The proposed work requires knowledge not only from engineering, but also knowledge of medical, behavioral, and economic factors relevant to opioid dependence. Michael will create new methodology for quantitatively modeling economic and behavioral implications of policy decisions and will generate an evidence-based policy recommendation for VA.
Assistant Professor of Electrical Engineering
Current Research and Scholarly InterestsWe are interested in designing and engineering new nanoplasmonic platforms, including those fabricated by top-down and bottom-up processes, for the purposes of developing new sensors, beam steering platforms, active on-chip optical components, and modulators. We are also interested in exploring new material platforms, utilizing stretchable and thin-film materials, that integrate optical and electronic functionality for the purposes of realizing new body-worn and bio-medical devices.
Ph.D. Student in Mechanical Engineering, admitted Autumn 2014
Ph.D. Student in Management Science and Engineering, admitted Autumn 2017
Ph.D. Minor, Mathematics
BioLin Fan is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.
Research interests: statistics, applied probability, machine learning, applications in operations research and econometrics
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
BioI work on understanding the statistical physics and optimization principles of organized biological systems.
I am interested in a lot of things: statistical physics, dynamic systems, optimization theory, game theory, biophysics, evolution, developmental biology, and ecology. I also spend time on the engineering and technology required for depicting concrete biological systems.