Management Science and Engineering
Showing 381-390 of 552 Results
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Jan B. Pietzsch, PhD
Adjunct Professor, Management Science and Engineering
BioDr. Pietzsch is co-founder, President and CEO of Wing Tech Inc., an independent, international health economics core lab and consultancy focused on value assessment of novel medical technologies and therapies. At Stanford, he holds an appointment as Adjunct Professor of Management Science and Engineering and serves as Director, Health Economics and Value, at the Stanford Mussallem Center for Biodesign, a globally leading program in health technology innovation. Dr. Pietzsch received his academic training at Stanford University (Ph.D., M.S.) and at the University of Karlsruhe, Germany (Dipl.-Wi.Ing.).
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Amanda Pratt
Ph.D. Student in Management Science and Engineering, admitted Autumn 2022
BioAmanda Pratt is a Ph.D. candidate 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.
