Advanced Financial Technologies Laboratory (AFTLab)
The Advanced Financial Technologies Laboratory at Stanford University pioneers financial models, statistical tools, computational algorithms, and software to address the challenges that arise in this context. Faculty and doctoral students of AFT combine expertise in core areas such as stochastics, optimization, data science, and networks and algorithms with a deep understanding of financial markets and institutions to make fundamental advances of broad relevance.
DARA (Decision Risk Analysis)
Research within the group includes a strong focus on practical implementation of decision analysis concepts and interface with industry and other fields. Recent research also includes development of a philosophical understanding about what constitutes a good decision, and how to reach one.
Engineering Risk Research Group
The Engineering Risk Research Group (ERRG) uses mathematical modeling, systems analysis, and probabilistic methods to discover cost-effective approaches to reducing risk in complex systems in areas such as medical operations and devices, national security, and the strategy of financial firms.
Operations Research @ Stanford
Operations Research @ Stanford develops mathematical tools for addressing important problems such as communication network management, statistical learning, supply-chain management, pricing and revenue management, financial engineering, market design, bio-informatics, production scheduling, energy and environmental policy, and transportation.
Social Algorithms Lab @ Stanford (SOAL)
The Social Algorithms Lab (SOAL) combines computer science and algorithms with social science and economics in response to two recent trends: the rise of more powerful information technology and algorithms, and an increase in networked social and economic interactions.