School of Engineering
Showing 201-300 of 474 Results
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Irene Lo
Assistant Professor of Management Science and Engineering
BioIrene is an assistant professor in Management Science & Engineering at Stanford University. Her research is on designing matching markets and assignment processes to improve market outcomes, with a focus on public sector applications and socially responsible operations research. She is also interested in mechanism design for social good and graph theory.
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Ramesh Manian
Ph.D. Student in Management Science and Engineering, admitted Autumn 2024
Masters Student in Management Science and Engineering, admitted Summer 2022BioRamesh is a Principal Program Manager at Microsoft, where he works to help Fortune 500 companies with digital transformation of their modern work processes. He was a member of the founding team of TIBCO, a provider of integration and analytics solutions. He has founded several other startups in robotics, AI, and education. Ramesh is a life-long learner with diverse interests and currently interested on educating himself in biology and quantum computing, in addition to working toward his MS degree in MS&E.
He also ran Station Cafe, an Italian restaurant, in San Carlos between 2010 and 2014. -
Robert McGinn
Professor (Teaching) of Management Science and Engineering, Emeritus
Current Research and Scholarly Interestsexploration of ethical issues related to nanotechnology
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Anay Mehrotra
Postdoctoral Scholar, Management Science and Engineering
BioI am a Postdoctoral Scholar at Stanford, where I am excited to work with Amin Saberi. I completed my Ph.D. at Yale University where I was fortunate to be advised by Amin Karbasi and Manolis Zampetakis.
My research focuses on machine learning under complex conditions where traditional assumptions break down. My work has two parts. First, I develop foundations for machine learning with missing and selectively observed data (spanning causal inference, limited-dependence, truncated statistics, and omissions shaped by societal biases). Second, I study why generative AI systems (including language models) are effective and design methods to evaluate and improve their safety.
My work has received the Best Paper Award at COLT, been featured in WIRED, and received the Sir Binay Kumar Sinha award from IIT Kanpur. As an undergraduate, I represented IIT Kanpur at the ICPC World Final. While at Yale, I also taught at the Yale ICPC Club. -
Holden Moore
Undergraduate, Management Science and Engineering
Undergraduate, Symbolic SystemsBioStanford University undergraduate student majoring in symbolic systems with a concentration in neuroscience. Pursuing an interdisciplinary degree across diverse fields of study including computer science, mathematics, neuroscience, statistics, philosophy, and psychology.
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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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Liem M. Nguyen
Ph.D. Student in Management Science and Engineering, admitted Summer 2026
Masters Student in Management Science and Engineering, admitted Autumn 2019Current 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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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.
