Stanford University
Showing 301-400 of 512 Results
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Ayinwi Muma
Ph.D. Student in Management Science and Engineering, admitted Summer 2017
BioAyinwi is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.
Her research examines the emergence of new technological paradigms and evolution in work practices, routines, and capabilities of organizations. -
Walter Murray
Professor (Research) of Management Science and Engineering, Emeritus
BioProfessor Murray's research interests include numerical optimization, numerical linear algebra, sparse matrix methods, optimization software and applications of optimization. He has authored two books (Practical Optimization and Optimization and Numerical Linear Algebra) and over eighty papers. In addition to his University work he has extensive consulting experience with industry, government, and commerce.
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Dale Nesbitt
Adjunct Lecturer, Management Science and Engineering
BioDr. Nesbitt has been teaching MSE 252 (Decision Analysis), MSE 352 (Professional Decision Analysis), MSE 353 (Advanced Decision Analysis), MSE 299 (Coercion Free Social Systems), and MSE 254 (The Ethical Analyst) in the department. He has practiced and taught in these fields, and economic modeling, for several decades.
Dr. Nesbitt has been researching Bayesian statistical analysis, ethics, and ethical theories in a general setting (i.e., personal ethics not necessarily associated with any particular field or discipline). His research focuses on ethics per se, not ethics related to a specific technology, commodity, discipline, area, or practice. He is currently focused on ethics from a socio-personal perspective, one in which coercion is minimized or sanctioned, one that blends the utilitarian approach of Harsanyi, Mill, Bentham, and others with the uncoerced game theory approach of Nash and Harsanyi. The objective of this research is to give a roadmap for people (and groups) to behave ethically and do good and also to be able to consider ethical decision making under uncertainty.
Dr. Nesbitt is completing a monograph on Bayesian Linear Regression intended to unify key dimensions of the field around a pure Bayesian probabilistic viewpoint, what he calls “unabashed Bayes.” The monograph is scheduled for completion in 2022. Dr. Nesbitt continues to research and practice Bayesian regression and probabilistic analysis, recently applying it to disciplines such as automobile selection, jet technology and fuel projection, and petrochemicals demand.
Dr. Nesbitt has focused for many years on building economic-environmental models of the key energy commodities—oil and refined products, natural gas, petrochemicals, automobiles, electric power generation, natural gas and electricity storage, renewable energy, environmental emissions and remediation, and demand/emission. His models and work in the field are well known, extending the classical economic equilibrium approach.
Dr. Nesbitt has worked and published in the field of semi-Markovian Decision Problems (the area of his thesis at Stanford), energy economics, cartels and monopolies, methods for modeling markets, Bayesian statistics, and free (meaning uncoerced) social systems. -
Liem M. Nguyen
Masters Student in Management Science and Engineering, admitted Autumn 2019
Current Research and Scholarly InterestsDevelopment of machine learning methods to identify structures and processes that promote high quality health care using large databases of electronic health record metadata.
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Minh Nguyen
Ph.D. Student in Biomedical Informatics, admitted Autumn 2018
Ph.D. Minor, Management Science and EngineeringBio@DARE fellow (Diversifying Academia, Recruiting Excellence) https://vpge.stanford.edu/people/minh-nguyen
@Data Science Scholar
https://datascience.stanford.edu/people/minh-nguyen -
Doug Owens
Henry J. Kaiser, Jr. Professor, Senior Fellow at the Freeman Spogli Institute for International Studies and Professor, by courtesy, of Management Science and Engineering
Current Research and Scholarly InterestsMy research uses decision modeling, cost-effectiveness analysis, and meta-analysis to evaluate clinical and health policy problems. Much of my work involves development of national guidelines for prevention and treatment.
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M Elisabeth Pate-Cornell
Burton J. and DeeDee McMurtry Professor in the School of Engineering
BioDr. Marie-Elisabeth Paté-Cornell is the Burt and Deedee McMurtry Professor in the School of Engineering, and a Professor and Founding Chair of the Department of Management Science and Engineering at Stanford University (2000-2011). Previously, she was the Professor and Chair of the Stanford Department of Industrial Engineering and Engineering Management and an Assistant Professor of Civil Engineering at MIT. Her specialty is engineering risk analysis with application to complex systems (seismic risk, space systems, medical procedures and devices, offshore oil platforms, cyber security, etc.). Her earlier research has focused on the optimization of warning systems and the explicit inclusion of human and organizational factors in the analysis of systems’ failure risks. Her more recent work is on the use of game theory in risk analysis with applications that have included counterterrorism and cyber security.
She is a member of the National Academy of Engineering where she chairs the section of Interdisciplinary Engineering and Special Fields, of the French Académie des Technologies, and of the NASA Advisory Council. She is co-chair of the committee of the National Academies (NASEM) on risk analysis methods for nuclear war and nuclear terrorism. She is a Fellow (and past president) of the Society for Risk Analysis and of the Institute for Operations Research and Management Science. She is the author of more than one hundred publications, with several best paper awards, and the co-editor of a book on Perspectives on Complex Global Problems (2016). She was a member of the Board of Advisors of the Naval Postgraduate School, which she chaired from 2004 to 2006, and of the Navy War College. Dr. Paté-Cornell was also a member of the President’s (Foreign) Intelligence Advisory Board (2001-2008), of the board of the Aerospace Corporation (2004-2013) of Draper Laboratory (2009-2016), and of InQtel (2006-2017). She was awarded the Frank Ramsey Medal of the Decision Analysis Society, the 2021 IEEE Ramo medal in Systems Engineering and Science, and the 2022 PICMET Award for Leadership in Technology Management. She is a Fellow (and past president) of the Society for Risk Analysis and of the Institute for Management Science and Operations Research, and a Distinguished Vising Scientist of the NASA Jet Propulsion Laboratory. She is the author of more than one hundred publications, for which she got several best paper awards, and the co-editor of a book on Perspectives on Complex Global Problems (2016). She holds a BS in Mathematics and Physics, Marseille (France), an Engineering degree (Applied Math/CS) from the Institut Polytechnique de Grenoble (France), an MS in Operations Research and a PhD in Engineering-Economic Systems, both from Stanford University.
She and her late husband, Dr. Allin Cornell had two children, Philip Cornell (born 1981) and Ariane Cornell (1984). She is married to Admiral James O. Ellis Jr. (US Navy, Ret.). -
Markus Pelger
Assistant Professor of Management Science and Engineering
Current Research and Scholarly InterestsHis research focuses on understanding and managing financial risk. He develops mathematical financial models and statistical methods, analyzes financial data and engineers computational techniques. His research is divided into three streams: machine learning solutions to big-data problems in empirical asset pricing, statistical theory for high-dimensional data and stochastic financial modeling.
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Mateo PETEL
Masters Student in Management Science and Engineering, admitted Autumn 2023
BioMateo Petel is a Graduate Student studying Computational Sciences at Stanford University and École Normale Supérieure (ENS). He received his BSc (2021) in Applied Mathematics & Financial Engineering from the University of Paris-Dauphine, with First Class Honours. Mateo has extensive experience in academic research at HEC Paris (Prof. Landier), Harvard University (Prof. Pons), and Oxford University (Prof. Perera), and applied research at the European Space Agency (ESA), and NASA Jet Propulsion Laboratory (JPL).
Mateo is the co-founder of Le Ballon de l'Espoir, France's first national soccer competition for high-school students in support of non-profit organizations (5000+ participants in 2020).
Mateo is a recipient of several awards including the Fulbright - Monahan Foundation Scholarship (2023), the UN Women France Prize (2020), and the World Expo Young Climate Leader Award (2015). -
Amanda Pratt
Ph.D. Student in Management Science and Engineering, admitted Autumn 2022
BioAmanda Pratt is a Ph.D. student in Management Science at Stanford University, where she is part of the Center for Work, Technology, and Organization. Her research interests include how organizations must change to adopt technology – particularly data and ML-based technologies - and how technology changes them. Prior to returning to school, Amanda was a Principal at Keystone Strategy, a technology-focused consulting firm. Amanda holds a bachelor's degree in engineering from Olin College, a master's degree in engineering from UC Berkeley, and an MBA from Harvard University.
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Gary Qian
Ph.D. Student in Management Science and Engineering, admitted Autumn 2021
BioI am currently a 2nd year PhD student in Management Science and Engineering at Stanford working with Professor Margaret Brandeau. My research focuses on the development of applied mathematical, economic models, and machine learning models to support health policy decisions. My recent work has been focused on HIV prevention and treatment programs, programs to control US opioid epidemic, and policies for minimizing spread of infectious diseases (including COVID-19).
I am passionate about using optimization theory and machine learning to implement scalable solutions in solving complex, real-world problems including but not limited to applications in healthcare. -
Philipp Reineke
Ph.D. Student in Management Science and Engineering, admitted Spring 2019
Current Research and Scholarly InterestsIn his dissertation research, Phil examines Decentralized Autonomous Organizations (DAOs) and decentralization more generally.
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Amin Saberi
Professor of Management Science and Engineering
BioAmin Saberi is Professor of Management Science and Engineering at Stanford University. He received his B.Sc. from Sharif University of Technology and his Ph.D. from Georgia Institute of Technology in Computer Science. His research interests include algorithms, design and analysis of social networks, and applications. He is a recipient of the Terman Fellowship, Alfred Sloan Fellowship and several best paper awards.
Amin was the founding CEO and chairman of NovoEd Inc., a social learning environment designed in his research lab and used by universities such as Stanford as well as non-profit and for-profit institutions for offering courses to hundreds of thousands of learners around the world. -
Michael Saunders
Professor (Research) of Management Science and Engineering, Emeritus
BioSaunders develops mathematical methods for solving large-scale constrained optimization problems and large systems of equations. He also implements such methods as general-purpose software to allow their use in many areas of engineering, science, and business. He is co-developer of the large-scale optimizers MINOS, SNOPT, SQOPT, PDCO, the dense QP and NLP solvers LSSOL, QPOPT, NPSOL, and the linear equation solvers SYMMLQ, MINRES, MINRES-QLP, LSQR, LSMR, LSLQ, LNLQ, LSRN, LUSOL.
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Ross Shachter
Associate Professor of Management Science and Engineering
Current Research and Scholarly InterestsProf. Shachter's research has focused on the representation, manipulation, and analysis of uncertainty and probabilistic reasoning in decision systems. As part of this work, he developed the DAVID influence diagram processing system for the Macintosh. He has developed models scheduling patients for cancer follow-up, and analyzing vaccination strategies for HIV and Helobacter pylori.
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Patrick Sheehan
Postdoctoral Scholar, Management Science and Engineering
BioPatrick Sheehan a Post-Doctoral scholar in the Work, Technology, and Organizations group at MS&E. He is an ethnographer and economic sociologist who studies work, culture, and technological innovation. His research focuses on elite professional employment as an entryway for understanding cultural transformations to contemporary capitalism. Ongoing projects investigate the puzzling rise of “career coaches” as self-styled “experts” in career management, and an ethnographic study of “hype culture" in Silicon Valley start-ups.
His work has been published in American Journal of Sociology, Annual Review of Sociology, and Work & Occupations, and has received best-paper awards from the American Sociological Associuation sections on Cultural Sociology; Organizations, Occupations, and Work; and Economic Sociology.
Patrick earned a BA from the University of California, Santa Barbara and a PhD from the University of Texas at Austin. -
Aaron Sidford
Associate Professor of Management Science and Engineering and of Computer Science
Current Research and Scholarly InterestsMy research interests lie broadly in the optimization, the theory of computation, and the design and analysis of algorithms. I am particularly interested in work at the intersection of continuous optimization, graph theory, numerical linear algebra, and data structures.
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Rosanne Marie Siino
Lecturer
BioRosanne was on the founding team of Netscape in the 1990s. She brings the same creativity, “think big” attitude and positive energy that launched the first commercially successful web browser to her teaching and consulting. After a long career in high-tech marketing, Rosanne received a doctorate in Management Science and Engineering from Stanford, where she has been a lecturer since 2007. Rosanne teaches undergraduate and graduate classes in organizational dynamics, and advises technology companies, startups, and nonprofits on effective teamwork, management and messaging.
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Ryan Stice-Lusvardi
Ph.D. Student in Management Science and Engineering, admitted Autumn 2017
BioRyan is interested in examining how changing applications and increasing adoption of data analytics are shaping the future of work and organizations. In her current research, she seeks to illuminate the ways in which assumptions and values of data analysts are embedded in analytic practices and how this shapes data insights and decisions. Her previous research has examined the impact of perceived analytic ability on HR performance evaluations and the emergence of HR analytics. Ryan has lived in Hong Kong, Thailand, Singapore, France, and South Korea. She enjoys repurposing vintage doors, bouts of gardening, and eating gourmet takeout.
