School of Engineering
Showing 1-10 of 79 Results
Professor of Computer Science and, by courtesy, of Electrical Engineering
BioFedkiw's research is focused on the design of new computational algorithms for a variety of applications including computational fluid dynamics, computer graphics, and biomechanics.
Associate Professor of Civil and Environmental Engineering
BioFringer's research focuses on the development and application of numerical models and high-performance computational techniques to the study of fundamental processes that influence the dynamics of the coastal ocean, rivers, lakes, and estuaries.
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 Area: statistics, applied probability, applications in finance and operations research
Assistant Professor of Genetics and of Bioengineering
Current Research and Scholarly InterestsThe Fordyce Lab is focused on developing new instrumentation and assays for making quantitative, systems-scale biophysical measurements of molecular interactions. Current research in the lab is focused on two main areas: using microfluidic tools we have already developed to build ground-up quantitative models of how gene expression is regulated, and developing new tools to explore protein-protein interactions.
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.
Jordi Feliu Faba
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioI am a PhD student in the Institute for Computational and Mathematical Engineering (ICME). I was born and I received my education in Spain. I received my two Bachelor's degrees in Industrial Technology Engineering and in Civil Engineering at Universitat Politècnica de Catalunya (UPC) in Barcelona. In 2014 I moved for 6 months to France to finish my Bachelor's degree in Civil Engineering at Ecole Centrale de Nantes. Next, I returned to Barcelona to course a MSc in Civil Engineering at UPC and gain work experience in civil engineering. My research interests lie in the area of computational engineering.
Postdoctoral Research Fellow, Mechanical Engineering
Current Research and Scholarly InterestsHigh-order numerical scheme for conservation laws, Interface tracking method for multi-phase flow, Smoothed-particle hydrodynamics (SPH) method, Partitioning and domain decomposition methods, Unstructured mesh generation.