School of Engineering
Showing 101-200 of 552 Results
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Charles (Chuck) Eesley
Associate Professor of Management Science and Engineering
Current Research and Scholarly InterestsMy research focuses on the influence of the external environment on entrepreneurship. I investigate the types of environments that encourage the founding of high growth, technology-based firms. I build on previous literature that explains why entrepreneurs are successful and my major contribution is to demonstrate that institutions matter. I show that effective institutional change influences who starts firms, not just how many firms are started.
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Kathleen Eisenhardt
Stanford W. Ascherman, M.D. Professor in the School of Engineering
On Leave from 10/01/2023 To 06/30/2024Current Research and Scholarly InterestsTheoretical approaches: Cognition, complexity, learning, and organizational theories
Methods: Multi-case Theory Building as well as machine learning, simulation, and econometrics
Recent research: Business model design, strategy as "simple rules" heuristics, strategic interaction in novel markets and ecosystems, strategy in marketplaces, communities v. firm organizational forms -
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). -
Kay Giesecke
Professor of Management Science and Engineering
Current Research and Scholarly InterestsKay is a financial technologist whose research agenda is driven by significant applied problems in areas such as investment management, risk analytics, lending, and regulation, where data streams are increasingly large-scale and dynamical, and where computational demands are critical. He develops and analyzes statistical machine learning methods to make explainable data-driven decisions in these and other areas and efficient numerical algorithms to address the associated computational issues.
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Peter Glynn
Thomas W. Ford Professor in the School of Engineering and Professor, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsStochastic modeling; statistics; simulation; finance
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Ashish Goel
Professor of Management Science and Engineering and, by courtesy, of Computer Science
BioAshish Goel is a Professor of Management Science and Engineering and (by courtesy) Computer Science at Stanford University. He received his PhD in Computer Science from Stanford in 1999, and was an Assistant Professor of Computer Science at the University of Southern California from 1999 to 2002. His research interests lie in the design, analysis, and applications of algorithms.
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Mathias Gomez
Student Services Specialist, Management Science and Engineering
Current Role at StanfordMathias Gomez is a Student Services Specialist for Management Science and Engineering (MS&E) and provides administrative and operational support to faculty, staff, and students on topics regarding admission, student life, and academic services.
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Warren Hausman
Professor of Management Science and Engineering, Emeritus
BioProfessor Hausman performs research in operations planning and control, with specific interests in supply chain management. Most of his contributions are based upon quantitative modeling techniques and emphasize relevance and real world applicability.
He has recently studied how RFID technology can revolutionize the management of supply chains. He has investigated the value of RFID applications in retail environments, in logistics, and in manufacturing and assembly operations. He has also studied how Supply Flexibility in retail supply chains affects a company's financial performance and market capitalization.
He is an active consultant to industry and is involved in numerous executive education programs both at Stanford and around the world. He was the founding director of a two-day executive program on Integrated Supply Chain Management held semi-annually in Palo Alto, California from 1994 to 2003. His consulting clients represent the following industries: general manufacturing, electronics, computers, consumer products, food & beverage, transportation, healthcare, and high technology. He is also a co-founder of Supply Chain Online, which provides web-based corporate supply chain management training. He serves on the technical advisory boards of several Silicon Valley startups. He has also served as an Expert Witness for litigation involving operations management
In 1994 he was elected President of the Operations Research Society of America (ORSA). He has also served on the Board of the Institute for Operations Research and the Management Sciences (INFORMS) and on several National Science Foundation Advisory Panels and Committees. He is a Fellow of INFORMS, a Distinguished Fellow of the Manufacturing and Service Operations Management Society, and a Fellow of the Production & Operations Management Society. He has also won several teaching awards, including the Eugene Grant Teaching Award in Stanford's School of Engineering in 1998.
He earned a BA in Economics from Yale and a PhD from MIT's Sloan School of Management. -
Siegfried Hecker
Professor (Research) of Management Science and Engineering and Senior Fellow at the Freeman Spogli Institute for International Studies, Emeritus
Current Research and Scholarly Interestsplutonium science; nuclear weapons stockpile stewardship; cooperative threat reduction
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Pamela Hinds
Rodney H. Adams Professor in the School of Engineering, Fortinet Founders Chair of the Department of Management Science and Engineering and Professor of Management Science and Engineering
BioPamela J. Hinds is Fortinet Founders Chair and Professor of Management Science & Engineering, Co-Director of the Center on Work, Technology, and Organization and on the Director's Council for the Hasso Plattner Institute of Design. She studies the effect of technology on teams, collaboration, and innovation. Pamela has conducted extensive research on the dynamics of cross-boundary work teams, particularly those spanning national borders. She explores issues of culture, language, identity, conflict, and the role of site visits in promoting knowledge sharing and collaboration. She has published extensively on the relationship between national culture and work practices, particularly exploring how work practices or technologies created in one location are understood and employed at distant sites. Pamela also has a body of research on human-robot interaction in the work environment and the dynamics of human-robot teams. Most recently, Pamela has been looking at the changing nature of work in the face of emerging technologies, including the nature of coordination in open innovation, changes in work and organizing resulting from 3D-printing, and the work of data analysts. Her research has appeared in journals such as Organization Science, Research in Organizational Behavior, Academy of Management Journal, Academy of Management Annals, Academy of Management Discoveries, Human-Computer Interaction, Journal of Applied Psychology, Journal of Experimental Psychology: Applied, and Organizational Behavior and Human Decision Processes. Pamela is a Senior Editor of Organization Science. She is also co-editor with Sara Kiesler of the book Distributed Work (MIT Press). Pamela holds a Ph.D. in Organizational Science and Management from Carnegie Mellon University.
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Connor Hoffmann
Masters Student in Management Science and Engineering, admitted Summer 2023
BioConnor assists with research and programs led by Dr. Palmer’s group in conjunction with CISAC. His interests include how technology development shapes social and political orders, norms and governance practices with a particular focus in the life sciences. Connor received an Honors Baccalaureate and Bachelors in Chemical Engineering, Biological Engineering, and Interdisciplinary Studies (BS) with foci in biological engineering, economics and political science from Montana State University. His thesis work studied the application of nuclear nonproliferation norms to dual-use biotechnology. He also conducted research on the biochemistry and structural biology of CRISPR-Cas systems under the direction of Dr. Blake Wiedenheft during his undergraduate studies. Connor was named a Truman Scholar, the premier graduate fellowship in the United States for those pursuing careers as public service leaders. Before joining Stanford, he worked with the American Council for an Energy Efficient Economy [ACEEE] to develop a connected and autonomous vehicle policy toolkit. An avid outdoorsman, he can be found after hours exploring the backcountry with his mountain bike, touring skis, climbing gear, or backpack.
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Andrew Mosser Hong
Masters Student in Management Science and Engineering, admitted Autumn 2022
Peer Advisor, Statistics
Stanford Student Employee, StatisticsCurrent Role at StanfordMasters student in Management Science & Engineering. Undergraduate student in Data Science. Peer Advisor in Data Science. Resident Assistant.
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Ronald Howard
Professor of Management Science and Engineering, Emeritus
BioRonald A. Howard has been Professor in the Department of Engineering-Economic Systems (now the Department of Management Science and Engineering) in the School of Engineering of Stanford University since 1965. Professor Howard is one of the founders of the decision analysis discipline. His books on probabilistic modeling, decision analysis, dynamic programming, and Markov processes serve as major references for courses and research in these fields.
Professor Howard directs teaching and research in the Decision Analysis Program of the Department of Management Science and Engineering. He also is the Director of the Decisions and Ethics Center, which examines the efficacy and ethics of social arrangements. Professor Howard defined the profession of decision analysis in 1964 and has since supervised several doctoral theses in decision analysis every year. His experience includes dozens of decision analysis projects that range over virtually all fields of application, from investment planning to research strategy, and from hurricane seeding to nuclear waste isolation. He has been a consultant to several companies and was a founding Director and Chairman of Strategic Decisions Group. He is President of the Decision Education Foundation, which he and colleagues founded to teach decision skills to young people.
He has written four books, dozens of technical papers, and provided editorial service to seven technical journals. He was founding Editor of the Journal of the Society for Scientific Exploration. He has lectured in decision analysis at universities in several foreign countries, including the former Soviet Union and the People's Republic of China. His national society affiliations have included the Operations Research Society of America; the Operational Research Society (U. K.); the Institute of Electrical and Electronics Engineers (Fellow); the Institute of Management Science, which he served as President, and INFORMS, The Institute for Operations Research and the Management Sciences, (Fellow). Current research interests are improving the quality of decisions, life-and-death decision making, and the creation of a coercion-free society.
In 1986 he received the Operations Research Society of America's Frank P. Ramsey Medal "for Distinguished Contributions in Decision Analysis. In 1998 he received from INFORMS the first award for the Teaching of Operations Research/Management Science Practice. In 1999, this organization invited him to give the Omega Rho Distinguished Plenary Lecture at the Cincinnati National Meeting. In the same year, he was elected to the National Academy of Engineering and received the Dean's Award for Academic Excellence.
Professor Howard earned his Sc.D. in Electrical Engineering from MIT in 1958. He was Associate Professor of Electrical Engineering, Associate Professor of Industrial Management, and Associate Director of the Operations Research Center at MIT when he joined the Stanford faculty as Professor in 1965. -
Hillard Huntington
Executive Director, Energy Modeling Forum
Researcher, Management Science and Engineering - Energy Modeling Forum
Staff, Management Science and Engineering - Energy Modeling ForumBioHuntington is Executive Director of Stanford University's Energy Modeling Forum, where he conducts studies to improve the usefulness of models for understanding energy and environmental problems. In 2005 the Forum received the prestigious Adelman-Frankel Award from the International Association for Energy Economics for its "unique and innovative contribution to the field of energy economics."
His current research interests are modeling energy security, energy price shocks, energy market impacts of environmental policies, and international natural gas and LNG markets. In 2002 he won the Best Paper Award from the Energy Journal for a paper co-authored with Professor Dermot Gately of New York University.
He is a Senior Fellow and a past-President of the United States Association for Energy Economics and a member of the National Petroleum Council. He was also Vice-President for Publications for the International Association for Energy Economics and a member of the American Statistical Association's Committee on Energy Data. Previously, he served on a joint USA-Russian National Academy of Sciences Panel on energy conservation research and development.
Huntington has testified before the U.S. Senate Committee on Foreign Relations and the California Energy Commission.
Prior to coming to Stanford in 1980, he held positions in the corporate and government sectors with Data Resources Inc., the U.S. Federal Energy Administration, and the Public Utilities Authority in Monrovia, Liberia (as a U.S. Peace Corps Volunteer). -
Donald Iglehart
Professor of Engineering-Economic Systems & Operations Research, Emeritus
BioDonald L. Iglehart is a John von Neumann Theory Prize recipient who has made fundamental contributions to performance analysis, optimization, and simulation of stochastic systems. Iglehart received his Bachelor’s degree in Engineering Physics from Cornell in 1956, his Master’s degree in Mathematical Statistics from Stanford University in 1959, and his PhD in the same subject from Stanford in 1961. His dissertation was supervised by Herbert E. Scarf and Samuel Karlin, and the topic was on dynamic programming and stationary analysis of inventory problems. He taught at Cornell University from 1961 to 1967 and came to Stanford in 1967, where he has been emeritus since 1999. In1976, he spent a very productive year as an Overseas Fellow at Churchill College at Cambridge University. In his capacity as a PhD advisor, he has had many notable students, including Peter Glynn, Peter Haas, Phil Heidelberger, Doug Kennedy, and Ward Whitt.
Iglehart was jointly awarded the John von Neumann Theory Prize in 2002 with Cyrus Derman, the same year he was named an inaugural Fellow of the Institute for Operations Research and the Management Sciences. He was recognized for having pioneered and developed diffusion limits and approximations for heavily congested stochastic systems. His ideas provided tractable limiting processes and readily computable approximations for complex queueing and other stochastic systems for which closed-form solutions have proved intractable. Iglehart’s original research and contributions have heavily influenced queueing theory in the years since their publication, and his papers have been cited in hundreds of publications. Some of his other work has focused on inventory and distribution problems.
Iglehart was also honored by the INFORMS Simulation Society in 2012 with its highest honor, the Lifetime Professional Achievement Award (LPAA). His foundational work in that field recognized and exploited the underlying stochastic structure of simulation as a means of producing enhanced simulation methodologies. For example, he introduced and led the development of the regenerative method for stochastic simulation output analysis, inspiring a flood of significant contributions to simulation methodology. In the late 1980s, Iglehart and Glynn incorporated such techniques as importance sampling into stochastic simulations. The LPAA also noted his ability to clearly organize and articulate deep theory in his presentations and writing, and recognized his education of Ph.D. students who have had, individually and cumulatively, a profound impact on simulation education and research. The citation for his award states that "It is no exaggeration to say that Don Iglehart’s contributions made simulation a respectable research discipline in some circles of the operations research community."
In addition to being an INFORMS Fellow, Iglehart was elected in 1999 to the National Academy of Engineering, having been selected for his contributions to queueing theory, simulation methodology, inventory control, and diffusion approximations. He was also honored in 1971 through his induction as a Fellow of the Institute of Mathematical Statistics.
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Historical Academic Appointments:
1961-67 School of Operations Research and Industrial Engineering, Cornell University
1967-96 Department of Operations Research, Stanford University
1996-99 Department of Engineering-Economic Systems and Operations Research, Stanford University -
Abhinav Jha
Masters Student in Management Science and Engineering, admitted Winter 2023
BioMS Candidate in Management Science and Engineering with an interest in M&A (specifically, post merger integrations). Past: Manager at Deloitte - worked on large technology transformations and managed programs to build scalable infrastructures for Fortune 50 companies in addition to leading M&A projects.
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Ramesh Johari
Professor of Management Science and Engineering and, by courtesy, of Electrical Engineering and of Computer Science
BioJohari is broadly interested in the design, economic analysis, and operation of online platforms, as well as statistical and machine learning techniques used by these platforms (such as search, recommendation, matching, and pricing algorithms).
