People

Juan Carlos Pina Pardo

Research Affiliate
MIT CTL Staff Image

Dr. Juan Carlos Piña Pardo is an Assistant Professor of Industrial Engineering at Pontificia Universidad Católica de Valparaíso (PUCV) and a Research Affiliate at the MIT Center for Transportation and Logistics (MIT CTL). His current research focuses on designing and optimizing large-scale transportation and logistics systems under uncertainty, with an emphasis on urban last-mile logistics.

Before joining PUCV, Dr. Piña Pardo was a Postdoctoral Associate at MIT CTL, working on various industry-sponsored projects and conducting research at the MIT Megacity Logistics Lab and the MIT Supply Chain Design Lab. He was also a Postdoctoral Researcher at the Center of Excellence for Supply Chain Innovation & Transportation at KEDGE Business School (France), working on the Sustainable Operations in Urban Logistics Project, an international research initiative jointly funded by the Dutch Research Council, the French National Research Agency, and the Natural Science Foundation of China, which focused on developing more efficient, sustainable, and human-centered urban last-mile logistics systems.

Dr. Piña Pardo received his Ph.D. in Industrial Engineering from PUCV in 2022. He was a visiting scholar at CTL during his Ph.D. studies, funded by the 2020 INFORMS Transportation Science and Logistics Society Cross-Regional Doctoral Grant. Dr. Piña Pardo also worked as a lecturer at the PUCV School of Industrial Engineering for seven years, teaching operations research and industrial engineering. He was awarded the 2020 PUCV Distinguished Teaching Award for outstanding student evaluations during this time.

As a Research Affiliate at CTL, Dr. Piña Pardo collaborates with the MIT Intelligent Logistics Systems Lab and the MIT Supply Chain Design Lab, integrating operations research and machine learning to develop innovative solutions to complex transportation and logistics problems. He also serves as an academic advisor for the MIT Graduate Certificate in Logistics and Supply Chain Management.