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

From Tool to Teammate in a Randomized Controlled Trial of Clinician-AI Collaborative Workflows for Diagnosis

Selin S. Everett, Bryan J. Bunning, Priyank Jain, Ivan Lopez, Anup Agarwal, Manisha Desai, Robert Gallo, Ethan Goh, Vinay B. Kadiyala, Zahir Kanjee, Jacob M. Koshy, Andrew Olson, Adam Rodman, Kevin A. Schulman, Eric Strong, Jonathan H. Chen, Eric Horvitz
npj Digital Medicine March2026

Preferences for shared language for health equity across the political spectrum

Samantha X. Y. Wang, Sujin Song, Margaret C. Nikolo, Zakary Tormala, Robert M. Kaplan, Kevin A. Schulman
JAMA Network Open March2026 Vol. 9 Issue 3

Artificial Intelligence in the Clinic: Don’t Pay for the Tool, Pay for the Care

Sharif Vakili, Ashwin Nayak, Andrew Conrad, Kevin A. Schulman
NEJM Catal Innov Care Deliv February2026 Vol. 7 Issue 3

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