Ilan Adler Dept of Industrial Engineering & Operations Research mathematical programming, computational game theory, applied probability
Anil Aswani Dept of Industrial Engineering & Operations Research personalized medicine and healthcare systems, optimization of human-automation systems, statistical and optimization theory, game-theoretic modelling and visual analytics
Alper Atamturk Dept of Industrial Engineering & Operations Research logistics, integer programming, computational optimization, robust optimization
Peter Bartlett Dept of Statistics Division of Computer Science/EECS machine learning, statistical learning theory, adaptive control
Ryan Brutger Dept of Political Science international relations, international political economy, international law, political psychology, experimental design, bargaining and negotiation
Duncan Callaway Dept of Energy & Resources Group Division of Electrical Engineering/EECS energy systems analysis; grid decarbonization; modeling, control and optimization for electric power systems
Michael Cassidy Dept of Civil and Environmental Engineering traffic and transportation operations, traffic control
Ying Cui Dept of Industrial Engineering & Operations Research continuous optimization, optimization under uncertainty, statistical estimations
Carlos F. Daganzo Dept of Civil and Environmental Engineering logistics, networks, urban transportation, traffic flow
Desiree Fields Dept of Geography economic geography, urban theory, financialization, digital platforms and real estate, urban social movements, geographical political economy, housing justice, market construction
Ken Goldberg Dept of Art Practice Dept of Industrial Engineering & Operations Research Division of Computer Science/EECS School of Information robotics, art, social media, new media, automation
Marta Gonzalez Dept of City & Regional Planning Dept of Civil and Environmental Engineering human mobility, network science, complex systems, urban science, spending behavior
Paul Grigas Dept of Industrial Engineering & Operations Research optimization, machine learning, data-driven decision-making
Jose Guajardo Haas School of Business Business Model Innovation, Service Innovation, Sustainable Operations, operations strategy, Business Analytics
Xin Guo Dept of Industrial Engineering & Operations Research stochastic control and games, theory of machine learning and applications to medical and financial data analysis, applied probability and stochastic models
Dorit Hochbaum Dept of Industrial Engineering & Operations Research data mining, integer programming, discrete optimization, network flow techniques, clustering, image segmentation, machine vision, pattern recognition
Ethan Katz Dept of History Jewish history, modern France, empire, Jewish-Muslim relations, secularism
Javad Lavaei Dept of Industrial Engineering & Operations Research control theory, optimization, power systems
Robert C. Leachman Dept of Industrial Engineering & Operations Research logistics, manufacturing, semiconductors, scheduling, supply chain systems, dynamic production models, production planning and scheduling
Amy Lerman Dept of Political Science Goldman School of Public Policy American government, public opinion, civic engagement, criminal justice, public impact research/scholarship, community-engaged research/scholarship, research practice partnership
Thibaut Mastrolia Dept of Industrial Engineering & Operations Research stochastic control, game theory, finance, optimization
Yiangos Papanastasiou Haas School of Business social learning theory, social learning, economics, game theory, pricing models, Revenue Management, economics of misinformation, e-commerce and financial platforms, Information technology issues in supply chain management
Rhonda Righter Dept of Industrial Engineering & Operations Research modeling, optimization, stochastic systems, systems with uncertainty, service operations, scheduling and load balancing, telecommunications, computer and internet communications
Park Sinchaisri Haas School of Business operations management, operations research, machine learning, human-computer interaction, decision-making, behavioral science, behavioral economics, service operations, applied econometrics