School of Engineering
Showing 11-20 of 44 Results
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Tina Seelig
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.) -
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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Stepan Sharkov
Masters Student in Management Science and Engineering, admitted Autumn 2020
Student Employee, Computer ScienceBio-Born in Saint-Petersburg, Russia. Computer Scientist in the heart with experience in economics
-Practiced C#, HTML, JavaScript, Java, PHP, SQL
-Had several internships, working with artificial intelligence in MentalRep and as an automated tester at AlliedTesting
-Won several conferences in Math and History, including National ones
-Prize winner in Economics olympiads -
Kirankumar Shiragur
Ph.D. Student in Management Science and Engineering, admitted Autumn 2016
BioKiran Shiragur is a final year PhD student at Stanford, co-advised by Prof. Moses Charikar and Prof. Aaron Sidford. His research interests lie in the intersection of theoretical computer science, statistics, information theory and optimization. A major theme of his work involves building efficient algorithms for extracting information from limited data. Complementary to this theme, he also enjoy formulating new mathematical models and practical solutions for problems in the natural and social sciences, that lie beyond the range of traditional machinery.
RESEARCH AREA: Operations Research, Theoretical Computer Science -
Nian Si
Ph.D. Student in Management Science and Engineering, admitted Autumn 2017
Ph.D. Minor, Computer ScienceBioI am a PhD student in the Department of Management Science and Engineering (MS&E) at Stanford University, where I am fortunate to be advised by Prof. Jose Blanchet. I am a member of the Stanford Operations Research Group.
Previously, I obtained a B.A. in Economics and a B.S. in Mathematics both from Peking University in 2017. My research interests lie broadly in applied probability, stochastic modeling and robust optimization.
In my spare time, I like outdoor activities, including hiking, marathons and triathlons. Besides these, I am a serious contract bridge player.
