Hazhir Rahmandad

Hazhir Rahmandad is the Schussel Family Professor of Management Science and a Professor of System Dynamics at the MIT Sloan School of Management. His research explores complex organizational dynamics, including how delays in action-to-outcome feedback affect organizational learning and performance. He has examined organizational performance landscapes, capability development trade-offs, and adaptation traps. Additionally, he studies public health and policy issues, such as city dynamics, COVID-19, and obesity and depression trends. Rahmandad contributes to dynamic modeling by advancing parameter estimation and validation methods. His work has been published in journals like Management Science, Organization Science, and System Dynamics Review, and has received funding from the National Science Foundation, National Institutes of Health, and private sector entities. He holds a BS in industrial engineering from Sharif University of Technology and a PhD in management with a system dynamics concentration from MIT. Before joining MIT Sloan in 2015, he was an Associate Professor of Industrial and Systems Engineering at Virginia Tech.

Hazhir Rahmandad is a Professor of System Dynamics at MIT Sloan School of Management, specializing in Strategy, System Dynamics, Organizational Dynamics, and Health modeling. His research explores complex systems through simulation-based approaches, focusing on diffusion dynamics, organizational learning, and health-related feedback loops. Rahmandad's work includes analyzing the behavioral dynamics of COVID-19, modeling obesity trends, and examining the interplay between homeostatic and hedonic feedback circuits. His studies also address econo-political risks and the impact of delays on organizational complexity. By integrating system dynamics with empirical data, he contributes to understanding and managing complex socio-technical systems.