Graduate School of Business
Showing 161-172 of 172 Results
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Susana Vasserman
Associate Professor of Economics at the Graduate School of Business
BioI am an academic economist specializing in industrial organization.
My work leverages theory, empirics and modern computation to better understand the equilibrium implications of policies and proposals involving information revelation, risk sharing and commitment. My projects span a number of policy settings, including public procurement, pharmaceutical pricing and auto-insurance. -
Madalina Vlasceanu
Assistant Professor of Environmental Social Sciences and, by courtesy, of Organizational Development at the Graduate School of Business
BioMadalina Vlasceanu is an Assistant Professor of Environmental Behavioral Sciences in the Department of Environmental Social Sciences at Stanford University’s Doerr School of Sustainability and the Director of the Climate Cognition Lab. Professor Vlasceanu is also a Faculty Fellow at the Stanford Center for Affective Science, the chair of the Society for Personality and Social Psychology at the United Nations, and a committee member of the Psychology Coalition at the United Nations, and the International Panel on the Information Environment. She obtained a PhD in Psychology and Neuroscience from Princeton University in 2021 and a BA in Psychology and Economics from the University of Rochester in 2016. Prior to Stanford, she was an Assistant Professor of Psychology at New York University. Her research focuses on the cognitive and social processes that give rise to emergent phenomena such as collective beliefs, collective decision-making, and collective action, with direct applications to climate policy. Guided by a theoretical framework of investigation, her research employs a large array of methods including behavioral laboratory experiments, social network analysis, field studies, randomized controlled trials, megastudies, and international many-lab collaborations, with the goal of understanding the processes underlying climate awareness and action at the individual, collective, and system level. Professor Vlasceanu's research is theoretically grounded and focused on applications for practice, incorporates an interdisciplinary perspective, and directly informs policies and practices relevant to climate mitigation and adaptation.
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Yuyan Wang
Assistant Professor of Marketing at the Graduate School of Business
BioYuyan Wang is an assistant professor of marketing and Kevin J. O’Donohue Family Faculty Scholar for 2024–2025 at Stanford Graduate School of Business. With over six years of industry experience at Google DeepMind and Uber as a machine learning researcher, she has designed algorithms for understanding and improving the long-term values of recommender systems, many of which have been deployed globally in multiple products at Google and Uber Eats. Her background is in statistics, with a PhD from the Department of Operations Research & Financial Engineering (ORFE) at Princeton University and a BSc from the Special Class for the Gifted Young at the University of Science of Technology of China. She has received the Steven Shugan Best Junior Faculty Paper Award at the AI in Management Conference (AIM) in 2025, and the Best Paper Award at the Conference on Information Systems and Technology (CIST) in 2022.
At Stanford GSB, Wang created and taught Understanding AI Technologies for Business Problems, the school’s first technical MBA course on AI. -
Kuang Xu
Associate Professor of Operations, Information and Technology at the Graduate School of Business and, by courtesy, of Electrical Engineering
BioKuang Xu is an Associate Professor of Operations, Information and Technology at Stanford Graduate School of Business, and Associate Professor by courtesy with the Electrical Engineering Department, Stanford University. Born in Suzhou, China, he received the B.S. degree in Electrical Engineering (2009) from the University of Illinois at Urbana-Champaign, and the Ph.D. degree in Electrical Engineering and Computer Science (2014) from the Massachusetts Institute of Technology.
His research primarily focuses on understanding fundamental properties and design principles of large-scale stochastic systems using tools from probability theory and optimization, with applications in queueing networks, healthcare, privacy and machine learning. He received First Place in the INFORMS George E. Nicholson Student Paper Competition (2011), the Best Paper Award, as well as the Kenneth C. Sevcik Outstanding Student Paper Award at ACM SIGMETRICS (2013), and the ACM SIGMETRICS Rising Star Research Award (2020). He currently serves as an Associate Editor for Operations Research and Management Science.
