Operations, Information & Technology

In the Operations, Information, and Technology field we use mathematical models to improve technological systems.

We develop new methods, improve the use of emerging technologies, study a wide variety of systems, and impact practice, using tools from operations research, game theory, econometrics, computer science, probability and statistics.

Our faculty research interests include health care systems, product design and manufacturing processes, supply networks, information systems, energy and environmental systems, homeland security systems, financial systems, social networks, and online markets. Our faculty-student ratio is approximately one-to-one allowing for personalized attention to students.

Preparation and Qualifications

The program is intended for students with strong training in relevant mathematical methods and models who are interested in academic careers. Students who enroll in this program must have strong preparation in advanced calculus, linear algebra, or probability. Competence in optimization, programming, real analysis, and statistics is also helpful. Recent admits have majored in Computer Science, Economics, Electrical Engineering, Industrial Engineering, Mathematics, Physics, and Statistics.

Faculty in Operations, Information & Technology

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Recent Publications in Operations, Information & Technology

Publication Search

Estimating Treatment Effect Heterogeneity in Psychiatry: A Review and Tutorial With Causal Forests

Erik Sverdrup, Maria Petukhova, Stefan Wager
Journal of Methods in Psychiatric Research April2025 Vol. 34 Issue 2

Policy Learning with Competing Agents

Roshni Sahoo, Stefan Wager
Operations Research April2025

rjaf: Regularized Joint Assignment Forest with Treatment Arm Clustering

Wenbo Wu, Xinyi Zhang, Jann Spiess, Rahul Ladhania
Journal of Open Source Software April2025 Vol. 10 Issue 108

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