School of Engineering
Showing 401-450 of 581 Results
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Heidi Roizen
Adjunct Lecturer, Management Science and Engineering
BioHeidi Roizen is a venture capitalist, corporate director and former technology CEO/entrepreneur. Today, Heidi is a partner at leading venture firm Threshold Ventures and serves as a board member for private companies Upside Foods and Polar in the Threshold portfolio. She is currently also an independent corporate director for Planet (NYSE:PL). Heidi is also an Adjunct Lecturer at Stanford University and leads Stanford’s Threshold Venture Fellows Program in the Management Science and Engineering department. Heidi also serves on the advisory councils of the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and Stanford Technology Ventures (STVP). She started her career as co-founder of software company T/Maker and served as its CEO for over a dozen years until its acquisition by Deluxe Corporation. After a year as VP of Worldwide Developer Relations at Apple, Heidi then became a venture capitalist in 1999. She has undergraduate and MBA degrees from Stanford and is the proud mother of two kids and two rescue dogs.
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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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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.