School of Engineering


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  • Madison George

    Madison George

    Ph.D. Student in Bioengineering, admitted Autumn 2023

    Current Research and Scholarly InterestsWith my research I bridge the most prominent aspects of my life: academics and athletics. In undergrad, I completed a co-mentored interdisciplinary thesis to design the first women's pole vaulting shoes. Now, I am committed to improving biomedical imaging for musculoskeletal injury diagnoses, specifically dynamic imaging to create 3D models of areas of the musculoskeletal system and evaluate movement and function. My primary goals are to enhance performance and properly diagnose injuries.

  • J. Christian Gerdes

    J. Christian Gerdes

    Professor of Mechanical Engineering, Emeritus

    BioChris Gerdes is a Professor of Mechanical Engineering at Stanford University and Co-Director of the Center for Automotive Research at Stanford (CARS). His laboratory studies how cars move, how humans drive cars and how to design future cars that work cooperatively with the driver or drive themselves. When not teaching on campus, he can often be found at the racetrack with students, trying out their latest prototypes for the future. Vehicles in the lab include X1, an entirely student-built test vehicle; Niki, a Volkswagen GTI capable of turning a competitive lap time around the track without a human driver; and Marty, our electrified, automated, drifting DeLorean. Chris' interests in vehicle safety extend to ethics and government policy, having helped to develop the US Federal Automated Vehicle Policy while serving as the first Chief Innovation Officer of the US Department of Transportation.

  • Margot Gerritsen

    Margot Gerritsen

    Professor of Energy Resources Engineering, Emerita

    Current Research and Scholarly InterestsResearch
    My work is about understanding and simulating complicated fluid flow problems. My research focuses on the design of highly accurate and efficient parallel computational methods to predict the performance of enhanced oil recovery methods. I'm particularly interested in gas injection and in-situ combustion processes. These recovery methods are extremely challenging to simulate because of the very strong nonlinearities in the governing equations. Outside petroleum engineering, I'm active in coastal ocean simulation with colleagues from the Department of Civil and Environmental Engineering, yacht research and pterosaur flight mechanics with colleagues from the Department of Mechanical and Aeronautical Engineering, and the design of search algorithms in collaboration with the Library of Congress and colleagues from the Institute of Computational and Mathematical Engineering.

    Teaching
    I teach courses in both energy related topics (reservoir simulation, energy, and the environment) in my department, and mathematics for engineers through the Institute of Computational and Mathematical Engineering (ICME). I also initiated two courses in professional development in our department (presentation skills and teaching assistant training), and a consulting course for graduate students in ICME, which offers expertise in computational methods to the Stanford community and selected industries.

    Professional Activities
    Senior Associate Dean, School of Earth, Energy and Environmental Sciences, Stanford (from 2015); Director, Institute for Computational and Mathematical Engineering, Stanford (from 2010); Stanford Fellow (2010-2012); Magne Espedal Professor II, Bergen University (2011-2014); Aldo Leopold Fellow (2009); Chair, SIAM Activity group in Geosciences (2007, present, reelected in 2009); Faculty Research Fellow, Clayman Institute (2008); Elected to Council of Society of Industrial and Applied Mathematics (SIAM) (2007); organizing committee, 2008 Gordon Conference on Flow in Porous Media; producer, Smart Energy podcast channel; Director, Stanford Yacht Research; Co-director and founder, Stanford Center of Excellence for Computational Algorithms in Digital Stewardship; Editor, Journal of Small Craft Technology; Associate editor, Transport in Porous Media; Reviewer for various journals and organizations including SPE, DoE, NSF, Journal of Computational Physics, Journal of Scientific Computing, Transport in Porous Media, Computational Geosciences; member, SIAM, SPE, KIVI, AGU, and APS

  • Farnaz "Naz" Ghaedipour

    Farnaz "Naz" Ghaedipour

    Postdoctoral Scholar, Management Science and Engineering

    BioI am a postdoctoral scholar in the Department of Management Science and Engineering at Stanford University at the Centre for Work, Technology, and Organization (WTO), advised by Arvind Karunakaran. I earned my PhD in Management of Organizational Behavior and Human Resources from McMaster University, under Erin Reid’s supervision.

    I study how technological changes in the organization of work (e.g., the advent of AI and digital platforms) and the rise of the gig economy combine with norms and ideal images of work (e.g., authenticity, passion, entrepreneurialism) to shape the structure, organization, and experience of work. I primarily use qualitative research methods, including interviews, participant observation, and ethnography. To approach the individual phenomena as embedded in the contextual structure, I often complement the data derived from interviews and observations with contextual information derived from secondary data sources (e.g., archival and walk-through data). Occupations studied include Instagram content creators, journalists, Upwork freelancers, software engineers, and graphic designers.

    I was a finalist in the 2021 INFORMS/Organization Science Dissertation Proposal Competition and the recipient of the SSHRC post-doctoral fellowship (2022), Ontario Graduate Fellowship (2021), and the Ontario Graduate Scholarship (2020).