Management Science and Engineering
Showing 201-300 of 553 Results
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Mena Issler
Lecturer
BioMena Issler is a Lecturer for Stanford's Management Science & Engineering program, teaching the class "Managing Innovation and Driving Adoption of Frontier Technologies". Mena also leads the Product team for Quantum Applications at IonQ. She serves as an Advisor for Silicon Catalyst, an incubator & accelerator focused on the Global Semiconductor Industry. Previously, Mena was an Associate Partner at McKinsey and an author of the McKinsey Technology Trends Outlook report. She received her PhD from ETH Zurich, focusing on quantum computing including decoherence mechanisms of qubits.
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Ruizhe Jia
Assistant Professor of Management Science and Engineering
BioI am an Assistant Professor in the Department of Management Science & Engineering at Stanford University. I earned my Ph.D. in Operations Research at Columbia University, advised by Prof. Agostino Capponi, and completed my B.S. and M.A. in Mathematics at UCLA.
My research sits at the intersection of financial technology, market microstructure, and mechanism design. I study how financial markets function and how they can be redesigned for greater efficiency and fairness, with a particular focus on decentralized finance (DeFi) and blockchain-based trading. My work spans three areas:
Market microstructure — analyzing trading behavior and designing better financial markets.
FinTech and DeFi — examining how cryptographic tools and decentralized protocols reshape financial transactions.
Incentives in financial technology — addressing misalignments that emerge in crypto-finance and proposing mechanisms that improve adoption and efficiency.
I believe finance is a social science that benefits from active engagement with real markets. I work closely with both industry and regulators to ensure my research not only advances theory but also informs practice and policy in digital assets and financial technology. -
Ramesh Johari
Professor of Management Science and Engineering and, by courtesy, of Electrical Engineering
BioJohari is broadly interested in the design, economic analysis, and operation of online platforms, as well as statistical and machine learning techniques used by these platforms (such as search, recommendation, matching, and pricing algorithms).
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Prof Theresa Johnson
Affiliate, Management Science and Engineering
BioDr. Johnson is a seasoned product leader with deep technical roots and a rare track record of impact across startups, academia, and top-tier tech companies. She currently serves as Head of Product for the Roblox Operating System, where she shapes the product vision for the employee lifecycle for employees at one of the world’s most immersive virtual platforms.
Before that, she led Payments Data Products at Airbnb, tackling complex infrastructure challenges at scale with a focus on user trust, access, and seamless global transactions.
Her career is built on a strong technical foundation—she earned a PhD in Aeronautics and Astronautics from Stanford, becoming the second Black woman in history to do so. That mix of deep systems thinking, experimentation, and executional rigor shows up in everything from launching infrastructure and AI-enabled products, to leading cross-functional teams, to mentoring students and early-career PMs. As Lecturing Professor at Stanford for Introduction to Product Management in the School of Engineering, she's passionate about building inclusive, high-performing teams and designing products that don’t just hit metrics, but matter.
Prof. Theresa Johnson has a BS in Science, Technology and Society and an MS and PhD in Aeronautics and Astronautics from Stanford University. She’s been published in the fields of robotics, machine learning and plasma physics. Theresa lives in Bernal Heights, San Francisco with her husband, two daughters and her rescued catahoula hound, Amelie. -
Amin Karbasi
Adjunct Professor, Management Science and Engineering
BioAn academic entrepreneur, Amin Karbasi is a Senior Director at Cisco Foundation AI, an adjunct professor at Stanford, and serves on the scientific board of the Simons Institute for the Theory of Computing. Previously, he served as Chief Scientist at Robust Intelligence (acquired by Cisco in 2024). Before that, he was a professor at Yale University and a research staff scientist at Google. He has received the National Science Foundation (NSF) CAREER Award, Office of Naval Research (ONR) Young Investigator Award, Air Force Office of Scientific Research (AFOSR) Young Investigator Award, DARPA Young Faculty Award, National Academy of Engineering Grainger Award, Amazon Research Award, Nokia Bell-Labs Award, Google Faculty Research Award, Microsoft Azure Research Award, Yale innovation award, Simons Research Fellowship, and ETH Research Fellowship. His work has also been recognized with paper awards from Graphs in Biomedical Image Analysis (GRAIL), Medical Image Computing and Computer Assisted Interventions Conference (MICCAI), International Conference on Artificial Intelligence and Statistics (AISTATS), IEEE ComSoc Data Storage, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), ACM SIGMETRICS, and IEEE International Symposium on Information Theory (ISIT). His Ph.D. thesis received the Patrick Denantes Memorial Prize from the School of Computer and Communication Sciences at EPFL, Switzerland.
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Arvind Karunakaran
Assistant Professor of Management Science & Engineering and, by courtesy, of Sociology
Current Research and Scholarly InterestsAreas of Research:
Sociology of Work and Occupations/Professions
Organization Theory
Technological/Organizational change
Topics:
Authority in the Workplace
Accountability (Professional, Organizational, Algorithmic)
Phenomena:
Social/Algorithmic Evaluation (of Job applicants, Employees, Startups)
Human-AI augmentation and Reskilling
Social Media Scrutiny
Conflicts in Symmetrical vs. Asymmetrical Relations -
Riitta Katila
W.M. Keck Professor and Professor of Management Science and Engineering
Current Research and Scholarly InterestsThe question that drives Prof. Katila's research is how technology-based firms with significant resources can stay innovative. Her work lies at the intersection of the fields of technology, innovation, and strategy and focuses on strategies that enable organizations to discover, develop and commercialize technologies. She combines theory with longitudinal large-sample data (e.g., robotics, biomedical, platform and multi-industry datasets), background fieldwork, and state-of-the-art quantitative methods. The ultimate objective is to understand what makes technology-based firms successful.
To answer this question, Prof. Katila conducts two interrelated streams of research. She studies (1) strategies that help firms leverage their existing resources (leverage stream), and (2) strategies through which firms can acquire new resources (acquisition stream) to create innovation. Her early contributions were firm centric while recent contributions focus on innovation in the context of competitive interaction and ecosystems.
Professor Katila's work has appeared in the Academy of Management Journal, Administrative Science Quarterly, Organization Science, Strategic Entrepreneurship Journal, Strategy Science, Strategic Management Journal, Research Policy and other outlets. In her work, supported by the National Science Foundation, Katila examines how firms create new products successfully. Focusing on the robotics and medical device industries, she investigates how different search approaches, such as the exploitation of existing knowledge and the exploration for new knowledge, influence the kinds of new products that technology-intensive firms introduce. -
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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Trevor Loy
Adjunct Lecturer, Management Science and Engineering
Instructor, Stanford Engineering Center for Global and Online EducationBioTrevor Loy is the Managing Partner and Founder of Flywheel Ventures, a seed- and early-stage venture capital firm that has invested in emerging startup ecosystems for more than twenty-five years.
As an Adjunct Lecturer at Stanford, Trevor teaches entrepreneurial management and finance in the Management Science & Engineering Department, where he is affiliated with the Stanford Technology Ventures Program, a research and teaching center he helped create as a graduate student. He also teaches professional and executive education programs for the Stanford Engineering Center for Global & Online Education, as well as for global companies, universities, governments, and sovereign wealth funds.
Trevor shapes venture capital and entrepreneurship policy as a former director of the National Venture Capital Association and a current member of its Board Alumni Council. He also served as Chair of VenturePAC, the venture capital industry's national political action committee, and is a frequent expert witness in private litigation and government policymaking worldwide.
Before founding Flywheel, Trevor held founding, executive, and technical roles at startups including Brooktree, Gigabeat, and ParkingNet, as well as at large tech firms such as Intel, Rockwell, and Teradyne.
He holds a BS and MS in Electrical Engineering and an MS in Management Science & Engineering, all from Stanford University. -
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.
