School of Engineering

Showing 1-50 of 244 Results

  • Tanja Aitamurto

    Tanja Aitamurto

    Postdoctoral Research Fellow, Management Science and Engineering

    BioI am a social scientist influenced heavily by engineering sciences. My work examines civic technologies for informing, empowering, and connecting people. The empirical contexts range from virtual, mixed, and augmented reality to large-scale online collaboration systems, such as applications of collective intelligence in open and participatory journalism, deliberation and policy-making, civic crowdfunding, and applications of artificial intelligence for civic use. I develop interdisciplinary theoretical frameworks by drawing on social psychology, democratic theory, computer science, and information systems. My work has been recognized with a number of awards and published in top journals, such as New Media & Society, Design Issues, Information, Communication & Society and International Journal of Communication.

    I am a postdoctoral scholar in the Department of Management Science & Engineering at Stanford, where I work in the Crowdsourced Democracy Team. I received my PhD in social sciences at the School of Communication, Media and Theatre at the University of Tampere in Finland in 2014. Previously I worked as a postdoctoral Brown Fellow and as Deputy Director of the Brown Institute for Media Innovation at Stanford. During my doctoral studies, I studied as a visiting student researcher at Stanford and at UC Berkeley

    In my dissertation “Collective Intelligence in Open Journalism: Power, Knowledge and Value”, I introduced a theory of open journalism. My dissertation received the Gene Burd Outstanding Dissertation in Journalism Studies Award from the International Communication Association (ICA). Drawing from several empirical cases, I showed how the building blocks of collective intelligence—a large number of participants and cognitive, demographic, and socioeconomic diversity within the crowd—both support and challenge journalistic norms, practices, and values through open journalism.

    My studies often have unique in-the-wild experiments, in which I collaborate with media organizations and local and national governments. I have designed and developed several online platforms and processes for crowdsourced journalism and policymaking and advised local and national governments in participatory policymaking projects. Currently I'm working with the city of Palo Alto on a crowdsourced urban planning strategy process.

    More about my work at

  • Kristen M. Altenburger

    Kristen M. Altenburger

    Ph.D. Student in Management Science and Engineering, admitted Autumn 2015

    BioI am a third year PhD candidate in the Management Science & Engineering Department at Stanford University and am a member of the Social Algorithms Lab. My research interests include social network analysis, machine learning, and causal inference.

  • Heather Altman

    Heather Altman

    Ph.D. Student in Management Science and Engineering, admitted Autumn 2015

    BioHeather is interested in team dynamics in global work environments, in particular how teams coordinate and collaborate to promote creativity and innovation. Her current research project investigates the work factors and team dynamics that influence innovation across cultures. Heather holds a B.A. with honors in Psychology from Stanford University.

  • Imanol Arrieta Ibarra

    Imanol Arrieta Ibarra

    Ph.D. Student in Management Science and Engineering, admitted Autumn 2014

    BioImanol Arrieta Ibarra is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.

    Research Area: Computational Social Science

    Dissertation Title: Personalized experimental designs in social systems

  • Itai Ashlagi

    Itai Ashlagi

    Assistant Professor of Management Science and Engineering

    BioItai Ashlagi is an Assistant Professor at the Management Science & Engineering Department.
    He is interested in game theory and the design and analysis of marketplaces. He is especially interested in matching markets, for which he developed mechanisms using tools from operations/cs and economics. His work influenced the practice of Kidney exchange, for which he has become a Franz Edelman Laureate. Ashlagi received his PhD in operations research from the Technion-Israel Institute of Technology.
    Before coming to Stanford he was an assistant professor of Operations Management at Sloan, MIT and prior to that a postdoctoral researcher at HBS. He is the recipient of the outstanding paper award in the ACM conference of Electronic Commerce 2009. His research is supported by the NSF including an NSF-CAREER award.

  • Nicholas Bambos

    Nicholas Bambos

    Richard W. Weiland Professor in the School of Engineering and Professor of Electrical Engineering

    BioNick Bambos is a Professor at Stanford University, having a joint appointment in the Department of Electrical Engineering and the Department of Management Science & Engineering. He heads the Network Architecture and Performance Engineering research group at Stanford, conducting research in wireless network architectures, the Internet infrastructure, packet switching, network management and information service engineering, engaged in various projects of his Network Architecture Laboratory (NetLab). His current technology research interests include high-performance networking, autonomic computing, and service engineering. His methodological interests are in network control, online task scheduling, queueing systems and stochastic processing networks.

    He has graduated over 20 Ph.D. students, who are now at leadership positions in academia (Stanford, CalTech, Michigan, GaTech, NYU, UBC, etc.) and the information technology industry (Cisco, Broadcom, IBM Labs, Qualcomm, Nokia, MITRE, Sun Labs, ST Micro, Intel, Samsung, TI, etc.) or have become successful entrepreneurs. From 1999 to 2005 he served as the director of the Stanford Networking Research Center, a major partnership/consortium between Stanford and information technology industries, involving tens of corporate members, faculty and doctoral students. He is now heading a new research initiative at Stanford on Networked Information Service Engineering.

    He is on the Editorial Boards of several research journals and serves on various international technical committees and review panels for networking research and information technologies. He has been serving on the boards of various start-up companies in the Silicon Valley, consults on high technology development and management matters, and has served as lead expert witness in high-profile patent litigation cases in networking and computing.

  • Stephen R. Barley

    Stephen R. Barley

    Weiland Professor in the School of Engineering, Emeritus

    Current Research and Scholarly InterestsTechnology's role in occupational and organizational change. Science and innovation in industrial settings. Organizational and occupational culture. Corporate power. Social network theory. Macro-organizational behavior.

  • Cora Bernard

    Cora Bernard

    Ph.D. Student in Management Science and Engineering, admitted Autumn 2013

    BioCora Bernard is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.

    RESEARCH AREA: Health Policy

    DISSERTATION TITLE: From Compartments to Networks: Model Complexity and Infectious Disease Policy

    RESEARCH ABSTRACT: Cora Bernard's applied work has involved: design of mathematical models in Matlab and Python that simulate injection drug use, infectious disease, and incarceration systems to evaluate treatment, intervention, and jail-diversion policies. Her methods of work: assess the impact of structural sensitivity on public health models.

  • Jiang Bian

    Jiang Bian

    Ph.D. Student in Management Science and Engineering, admitted Autumn 2014

    BioJiang Bian is a PhD student at the Stanford Technology Ventures Program (STVP) in the Department of Management Science & Engineering at Stanford University.

    Research Area: Innovation and Entrepreneurship

    Research Abstract:
    Jiang’s research interests lie at the intersection of organizations, innovation and corporate strategy. Particularly, she’s interested in how inter-organizational relationships affect firm competence and performance. Jiang holds a BS in Management and a BA in English from Tianjin University, China, as well as an MS in Civil and Environmental Engineering from Stanford University. Before joining STVP, Jiang worked in a variety of roles including risk analyst, regional risk manager and strategic consultant, providing management consulting services to public agencies, corporations and financial institutions in infrastructure project development, procurement, financing and investment.

  • Jose H. Blanchet

    Jose H. Blanchet

    Associate Professor of Management Science and Engineering

    BioJose Blanchet holds a Ph.D. in Management Science and Engineering from Stanford University. Prior to joining MSandE he was a faculty member of Columbia and Harvard University. Jose is a recipient of the 2009 Best Publication Award given by the INFORMS Applied Probability Society and of the 2010 Erlang Prize. He also received a PECASE award given by NSF in 2010. He worked as an analyst in Protego Financial Advisors, a leading investment bank in Mexico. He has research interests in applied probability and Monte Carlo methods. He serves in the editorial board of Advances in Applied Probability, Journal of Applied Probability, Mathematics of Operations Research, QUESTA, Stochastic Models, and Stochastic Systems.

  • Steve Blank

    Steve Blank

    Adjunct Professor, Management Science and Engineering

    BioSteve Blank is Adjunct Professor in the Department of Management Science and Engineering (MS&E) at Stanford University. He teaches courses on Lean Startups, innovation, and entrepreneurship in MS&E at Stanford.

    In 2009 he was awarded the Stanford University Undergraduate Teaching Award in the department of Management Science and Engineering.
    In 2013 his article "Why the Lean Startup Changes Everything" was the cover of the May 2013 Harvard Business Review
    In 2014 the National Science Foundation and NCIIA awarded him the Outstanding Leadership Award for his work on developing the NSF Innovation Corps curriculum

    In 2011 at the request of the National Science Foundation he modified ENG245, the Lean Launchpad class and it became the curriculum for the NSF Innovation-Corps..
    In 2014 he developed the I-Corps@NIH curriculum to accelerate how research gets from the lab bench to the bedside for therapeutics, diagnostics and medical devices.
    In 2016 he co-launched two new Management Science and Engineering (MS&E) classes at Stanford – MS&E 297 Hacking for Defense and its sister class – MS&E 298 Hacking for Diplomacy. He was on the list of the Thinkers50 ranking of top global management thinkers.

    He has written 3 books including: The Four Steps to the Epiphany, The Startup Owners Manual (co-authored with Bob Dorf) and Holding a Cat By Its Tail.

    His talk, The Secret History of Silicon Valley is often referred to as "the real story of how Silicon Valley started"

    He blogs regularly at

  • Stephen Boyd

    Stephen Boyd

    Samsung Professor in the School of Engineering and Professor, by courtesy, of Computer Science and of Management Science and Engineering

    BioStephen P. Boyd is the Samsung Professor of Engineering, and Professor of Electrical Engineering in the Information Systems Laboratory at Stanford University. He has courtesy appointments in the Department of Management Science and Engineering and the Department of Computer Science, and is member of the Institute for Computational and Mathematical Engineering. His current research focus is on convex optimization applications in control, signal processing, machine learning, and finance.

    Professor Boyd received an AB degree in Mathematics, summa cum laude, from Harvard University in 1980, and a PhD in EECS from U. C. Berkeley in 1985. In 1985 he joined the faculty of Stanford's Electrical Engineering Department. He has held visiting Professor positions at Katholieke University (Leuven), McGill University (Montreal), Ecole Polytechnique Federale (Lausanne), Tsinghua University (Beijing), Universite Paul Sabatier (Toulouse), Royal Institute of Technology (Stockholm), Kyoto University, Harbin Institute of Technology, NYU, MIT, UC Berkeley, CUHK-Shenzhen, and IMT Lucca. He holds honorary doctorates from Royal Institute of Technology (KTH), Stockholm, and Catholic University of Louvain (UCL).

    Professor Boyd is the author of many research articles and three books: Convex Optimization (with Lieven Vandenberghe, 2004), Linear Matrix Inequalities in System and Control Theory (with L. El Ghaoui, E. Feron, and V. Balakrishnan, 1994), and Linear Controller Design: Limits of Performance (with Craig Barratt, 1991). His group has produced many open source tools, including CVX (with Michael Grant), CVXPY (with Steven Diamond) and Convex.jl (with Madeleine Udell and others), widely used parser-solvers for convex optimization.

    Professor Boyd has received many awards and honors for his research in control systems engineering and optimization, including an ONR Young Investigator Award, a Presidential Young Investigator Award, and the AACC Donald P. Eckman Award. In 2013, he received the IEEE Control Systems Award, given for outstanding contributions to control systems engineering, science, or technology. In 2012, Michael Grant and he were given the Mathematical Optimization Society's Beale-Orchard-Hays Award, given every three years for excellence in computational mathematical programming. He is a Fellow of the IEEE, SIAM, and INFORMS, a Distinguished Lecturer of the IEEE Control Systems Society, and a member of the US National Academy of Engineering and a foreign member of the Chinese Academy of Engineering. He has been invited to deliver more than 90 plenary and keynote lectures at major conferences in control, optimization, signal processing, and machine learning.

    He has developed and taught many undergraduate and graduate courses, including Signals & Systems, Linear Dynamical Systems, Convex Optimization, and a recent undergraduate course on Matrix Methods. His graduate convex optimization course attracts around 300 students from more than 20 departments. In 1991 he received an ASSU Graduate Teaching Award, and in 1994 he received the Perrin Award for Outstanding Undergraduate Teaching in the School of Engineering. In 2003, he received the AACC Ragazzini Education award, for contributions to control education, with citation: “For excellence in classroom teaching, textbook and monograph preparation, and undergraduate and graduate mentoring of students in the area of systems, control, and optimization.” In 2016 he received the Walter J. Gores award, the highest award for teaching at Stanford University. In 2017 he received the IEEE James H. Mulligan, Jr. Education Medal, for a career of outstanding contributions to education in the fields of interest of IEEE, with citation "For inspirational education of students and researchers in the theory and application of optimization."

  • Margaret Brandeau

    Margaret Brandeau

    Coleman F. Fung Professor in the School of Engineering and Professor, by courtesy, of Medicine (PCOR)

    BioProfessor Brandeau is the Coleman F. Fung Professor in the School of Engineering and a Professor of Medicine (by Courtesy). Her research focuses on the development of applied mathematical and economic models to support health policy decisions. Her recent work has focused on HIV prevention and treatment programs, programs to control the spread of hepatitis B virus, and public health preparedness plans. She has served as Principal Investigator or Co-PI on a broad range of funded research projects.

    She is a Fellow of the Institute for Operations Research and Management Science (INFORMS) and a member of the Omega Rho International Honor Society for Operations Research and Management Science. From INFORMS she has received the President’s Award (recognizing important contributions to the welfare of society), the Pierskalla Prize (for research excellence in health care management science), the Philip McCord Morse Lectureship Award, and the Award for the Advancement of Women in Operations Research and the Management Sciences. She has also received the Award for Excellence in Application of Pharmacoeconomics and Health Outcomes Research from the International Society for Pharmacoeconomics and Outcomes Research, and a Presidential Young Investigator Award from the National Science Foundation, among other awards. Professor Brandeau earned a BS in Mathematics and an MS in Operations Research from MIT, and a PhD in Engineering-Economic Systems from Stanford.

  • Robert Bremner

    Robert Bremner

    Ph.D. Student in Management Science and Engineering, admitted Autumn 2014

    BioRobert Bremner is a Ph.D. student at the Stanford Technology Ventures Program in the Department of Management Science & Engineering at Stanford University.

    Research Area: Strategy, Innovation, Entrepreneurship

    Dissertation Title: Experimentation in Nascent Markets: How Firms Effectively Commercialize New Technology

    Research Abstract: Experimentation is widely acknowledged as an integral part of innovation and strategy in nascent technology industries. However, in spite of its importance, it is less clear how firms experiment effectively. Robert Bremner's research explores this gap using inductive methods. More specifically, he explores how the locus of experimentation affects firms’ ability to react to change, in addition to how firms experiment to identify viable commercial opportunities and build new businesses.

  • Thomas Byers

    Thomas Byers

    Entrepreneurship Professor in the School of Engineering

    BioAt Stanford University since 1995, Professor Tom Byers focuses on education regarding high-growth entrepreneurship and technology innovation. He is the first holder of the Entrepreneurship Professorship endowed chair in the School of Engineering, and is also a Bass University Fellow in Undergraduate Education. He has been a faculty director since the inception of the Stanford Technology Ventures Program (STVP), which serves as the entrepreneurship center for the engineering school. STVP includes the Mayfield Fellows work/study program for undergraduates and the Entrepreneurship Corner (eCorner) collection of thought leader videos. He was the director and lead principal investigator of the Epicenter, which was funded by the National Science Foundation to stimulate entrepreneurship education at all US engineering and science colleges. He is the co-author of a textbook called Technology Ventures: From Idea to Enterprise that is published by McGraw-Hill.

    He is a past recipient of the prestigious Gordon Prize by the National Academy of Engineering in the USA and Stanford University's Gores Award, which is its highest honor for excellence in teaching. He is a member of the board of trustees at Menlo College. He has been a member of advisory boards at Harvard Business School, UC Berkeley, World Economic Forum, and Conservation International. Tom was executive vice president and general manager of Symantec Corporation during its formation, and started his career at Accenture. Tom holds a BS in Industrial Engineering and Operations Research and an MBA from UC Berkeley. He also earned a PhD in Business Administration (Management Science) at UC Berkeley.

  • Bruce Cahan

    Bruce Cahan

    Lecturer, Management Science and Engineering

    BioBruce Cahan is a Lecturer in Stanford University's Management Science and Engineering Department, a Distinguished Scholar at Stanford's Human-Sciences and Technologies Advanced Research Institute's mediaX Program, and an active member of CodeX Fellow at Stanford’s Center for Legal Informatics. Bruce co-founded the Sustainable Banking Initiative at Stanford. Bruce teaches Ethics of Finance (MS&E 148), Investing on the Buy Side of Wall Street (MS&E 449) and Sustainable Banking (CEE 244A) at Stanford. As an Ashoka Fellow through Urban Logic, Bruce is creating GoodBank™(IO), an independent teaching bank for high-transparency, impacts-aware commercial bankers.

  • Ryan Chen

    Ryan Chen

    Ph.D. Student in Management Science and Engineering, admitted Summer 2015
    Engagement and Public Programs Intern, Stanford Live

    BioRyan Chen is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.

  • Anneke Claypool

    Anneke Claypool

    Ph.D. Student in Management Science and Engineering, admitted Autumn 2015

    BioAnneke Claypool is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.

    RESEARCH AREA: Health Policy

    Anneke Claypool's research is focused on developing models to evaluate health policy impacts and costs. Her current research includes analyzing the cost-effectiveness of chikungunya virus prevention with a dynamic transmission model and using mathematical modeling to analyze racial disparities in breast cancer incidence in the US. She is particularly interested in infectious disease and improvement in policies for communities with limited access to healthcare.

  • Lori Cottle

    Lori Cottle

    Student Services Officer, Management Science and Engineering

    Current Role at StanfordStudent Services Officer in the Department of Management Science and Engineering

    Manages and directs student and academic services for 500 bachelor, master, and doctoral students, including degree progress, graduate student funding, graduate admission, course scheduling, commencement, graduate student orientation, and website content for admission and academics. Oversees graduate and undergraduate student policy compliance and procedures. Liaison between the students and the faculty, between the department and the School of Engineering, and between the department and central offices at Stanford.

  • Richard Cottle

    Richard Cottle

    Professor of Management Science and Engineering, Emeritus

    BioRichard W. (Dick) Cottle was born in Chicago in 1934. He received his elementary and high school education in the neighboring village of Oak Park. Dick enrolled at Harvard College to take up political science and premedical studies in order to become a physician (or possibly a foreign service officer if that didn't work out). As it happened, both of these alternatives were abandoned because he was strongly attracted to mathematics and ultimately received his bachelor's degree in that field. He stayed on at Harvard and received the master's degree in mathematics in 1958. This was the Sputnik era, and Dick was moved by a passion to teach secondary-level mathematics. In the first of a series of fateful decisions, he joined the Mathematics Department at the Middlesex School in Concord, Massachusetts where for two years he taught grades 7-12. Midway through this period he married his wife Suzanne (Sue). At this time he began to think of returning to graduate school for a doctorate in mathematics. He decided to study geometry at the University of California at Berkeley and was admitted there. Just before leaving Middlesex, Dick received a telephone call from the Radiation Laboratory at Berkeley offering him the part- time job as a computer programmer for which he had applied. Through this job, he became aware of linear and quadratic programming and the contributions of George Dantzig and Philip Wolfe. Before long, Dick left the Rad Lab to join Dantzig's team at the Operations Research Center at UC Berkeley. Under the tutelage of George Dantzig (and the late Edmund Eisenberg), Dick developed a symmetric duality theory and what was then called the "composite problem". These topics along with a reëxamination of the Fritz John conditions, formed the core of his doctoral dissertation. The composite problem involved a fusion of the primal and dual first-order optimality conditions. It was realized that the resulting inequality system could be studied without reference to the primal-dual structure out of which it was born. The name "complementarity problem" was suggested by Dick and introduced in a joint paper with Habetler and Lemke. After Berkeley, Dick's work took two closely related directions. One was the study of quadratic programming; the other was what we now call "linear complementarity". The interesting role played by classes of matrices in both these areas has always held a special fascination for Dick. In quadratic programming, for instance, with Jacques Ferland he obtained characterizations of quasi- and pseudo-convexity of quadratic functions. Dick (and others) were quick to recognize the importance of matrix classes in linear complementarity theory. It was he who proposed the name "copositive-plus" for a matrix class that arose in Lemke's seminal paper of 1965. The name first appeared in the classic paper of Cottle and Dantzig called "Complementary Pivot Theory of Mathematical Programming". The subjects of quadratic programming and linear complementarity (and the associated matrix theory) remain central to his research interests.

  • Melanie Craxton

    Melanie Craxton

    Ph.D. Student in Management Science and Engineering, admitted Autumn 2013

    BioMelanie Craxton is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.

    RESEARCH AREA: Energy Policy

    DISSERTATION TITLE: The Economics of Information in Household Energy Consumption Decisions: A Behavioural Approach

    Economists have only just started to scratch the surface of the intersection of behavioural economics and its implications for consumer behaviour and policy in the energy space. Melanie's dissertation work aims to bring insights from the former literature into considerations of the latter. Specifically, her dissertation focuses on consumers' perception, or misperception. of information, such as costs or prices, that lead them to behave sub-optimally in traditional economic terms, particularly when understanding decisions related to energy consumption. Specific focus is given to California's Net Metering policy for rooftop solar production and household purchases of energy-consuming durable goods (i.e. appliances).

  • Maria Dimakopoulou

    Maria Dimakopoulou

    Ph.D. Student in Management Science and Engineering, admitted Summer 2015

    BioMaria Dimakopoulou is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.

    Research Area: Machine Learning and Economics
    Dissertation Title: Reinforcement Learning Methods for Effective Decision Making in Internet and Technology Platforms

    Research Abstract:
    Maria Dimakopoulou's research focuses on the development of machine learning methods and their empirical analysis. She is interested in the design of efficient multi-armed bandit and reinforcement learning algorithms that help an agent interacting with a complex, unknown environment to learn over time and make effective decisions. The empirical analysis focuses on how to apply these learning methods to run large-scale online experiments and identify the optimal policies for problems in economics, primarily in online advertising, marketing and internet platforms. She also studies causal inference questions related to machine learning.

    Her PhD research is supported by the "Arvanitidis" Stanford Graduate Fellowship in memory of William K. Linvill and by the Onassis Foundation. She is the recipient of the Stanford Management Science and Engineering Outstanding Academic Achievement at the Graduate Level award.