School of Engineering
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Professor of Management Science and EngineeringOn Leave from 10/01/2021 To 03/31/2022
BioAmin Saberi is an Associate Professor and 3COM faculty scholar in 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, approximation algorithms, and algorithmic aspects of games, markets, and networks. Amin Saberi's research is supported by National Science Foundation (under grants CCF 0546889, 0729586, and 0915145), Library of Congress, Stanford Clean Slate Design for the Internet, and Google. His most recent awards include an Alfred Sloan Fellowship and best paper awards in FOCS 2011 and SODA 2010.
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.
Professor of the Practice, Management Science and Engineering
BioDr. Tina Seelig is Executive Director of the Knight-Hennessy Scholars Program and Professor of the Practice in the Department of Management Science and Engineering (MS&E) at Stanford University. She is also a faculty director of the Stanford Technology Ventures Program (STVP), the entrepreneurship center at Stanford University's School of Engineering. She teaches courses on creativity, innovation, and entrepreneurship in MS&E and the Hasso Plattner Institute of Design (d.school) at Stanford.
In 2014 Dr. Seelig was honored with the SVForum Visionary Award, and in 2009 she received the Gordon Prize from the National Academy of Engineering, recognizing her as a national leader in engineering education. She received the 2014 MS&E Award for Graduate Teaching, the 2008 National Olympus Innovation Award, and the 2005 Stanford Tau Beta Pi Award for Excellence in Undergraduate Teaching. In 2018, Dr Seelig received the Richard W. Lyman Award which recognizes one outstanding Stanford faculty member for extraordinary service to the alumni community and Stanford Alumni Association programs.
Dr. Seelig earned a Ph.D. in Neuroscience from Stanford University School of Medicine where she studied neuroplasticity. She has worked as a management consultant for Booz, Allen, and Hamilton, as a multimedia producer at Compaq Computer Corporation, and was the founder of a multimedia company called BookBrowser.
She has written 17 books and educational games. Her books include The Epicurean Laboratory and Incredible Edible Science, which focus on the chemistry of cooking, published by Scientific American; and a dozen games for children, called "Games for Your Brain," published by Chronicle Books. Her newest books, published by HarperCollins, explore the process of bringing ideas to fruition. They include What I Wish I Knew When I Was 20 (2009), inGenius: A Crash Course on Creativity (2012), and Creativity Rules (September 2017.)
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.
Assistant 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.
Rosanne Marie Siino
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.
Professor of Management Science & Engineering and, by courtesy, of Organizational Behavior at the Graduate School of Business
BioRobert Sutton is Professor of Management Science and Engineering and a Professor of Organizational Behavior (by courtesy) at Stanford. Sutton has been teaching classes on the psychology of business and management at Stanford since 1983. He is co-founder of the Center for Work, Technology and Organization, which he co-directed from 1996 to 2006. He is also co-founder of the Stanford Technology Ventures Program and the Hasso Plattner Institute of Design (which everyone calls “the d school”). Sutton and Stanford Business School's Huggy Rao recently launched the Designing Organizational Change Project, which is hosted by the Stanford Technology Ventures Program
Sutton studies innovation, leadership, the links between managerial knowledge and organization action, scaling excellence, and workplace dynamics. He has published over 100 articles and chapters on these topics in peer-reviewed journals and the popular press. Sutton’s books include Weird Ideas That Work: 11 ½ Practices for Promoting, Managing, and Sustaining Innovation, The Knowing-Doing Gap: How Smart Firms Turn Knowledge into Action (with Jeffrey Pfeffer), and Hard Facts, Dangerous Half-Truths, and Total Nonsense: Profiting from Evidence-Based Management (with Jeffrey Pfeffer). The No Asshole Rule: Building a Civilized Workplace and Surviving One That Isn’t and Good Boss, Bad Boss: How to Be the Best…. and Survive the Worst are both New York Times and Wall Street Journal bestsellers. His last book, Scaling-Up Excellence: Getting to More without Settling for Less (with Huggy Rao), was published in 2014 and is a Wall Street Journal and Publisher’s Weekly bestseller. Sutton's next book, The Asshole Survival Guide: How to Deal With People Who Treat You Like Dirt, will be published in September of 2017.
Professor Sutton’s honors include the award for the best paper published in the Academy of Management Journal in 1989, the Eugene L. Grant Award for Excellence in Teaching, selection by Business 2.0 as a leading “management guru” in 2002, and the award for the best article published in the Academy of Management Review in 2005. Hard Facts, Dangerous Half-Truths, and Total Nonsense was selected as the best business book of 2006 by the Toronto Globe and Mail. Sutton was named as one of 10 “B-School All-Stars” by BusinessWeek , which they described as “professors who are influencing contemporary business thinking far beyond academia.” In 2014, the London Business School honored Sutton with the Sumantra Ghoshal Award for Rigour and Relevance in the Study of Management.
Sutton is a Fellow at IDEO, a Senior Scientist at Gallup, and academic director of two Stanford executive education programs:Customer-Focused Innovation and the online Stanford Innovation and Entrepreneurship Certificate. His personal website is at www.bobsutton.net and he also blogs at Harvard Business Review and as an “influencer” on LinkedIn. Sutton tweets @work_matters.
Professor of Management Science & Engineering, Senior Fellow at the Stanford Institute for Economic Policy Research, at the Precourt Institute for Energy and, by courtesy, at the Hoover Institution
Current Research and Scholarly InterestsDeterminants of energy efficiency opportunities, barriers, and policy options. Emphasis on behavioral issues, including personal, corporate, or organizational. Behavior may be motivated by economic incentives, social, or cultural factors, or more generally, by a combination of these factors. Systems analysis questions of energy use.