Amir is a postdoctoral fellow jointly appointed at the Michigan Institute for Data and AI in Society and the Industrial and Operations Engineering Department at the University of Michigan. He also serves as the Postdoctoral Affairs Co-chair for the University of Michigan Postdoctoral Association and as a Student Liaison for the Healthcare Applications Society within INFORMS.
Amir’s expertise lies in healthcare operations management and learning-based advanced analytics. His current work focuses on improving decision-making in kidney transplantation, particularly by maximizing the utilization of lower-quality kidneys that are often discarded. He collaborates with the Transplant Clinic at the Taubman Center and other experts across the university to address these challenges. Additionally, in partnership with the Ottawa Heart Institute, Canada, he is advancing operating room planning and scheduling through cutting-edge modeling and data-driven approaches.
- Science Mentors: Mariel Lavieri, Industrial and Operations Engineering, College of Engineering; Amy Cohn, Professor, Industrial and Operations Engineering, College of Engineering Center for Healthcare Engineering and Patient Safety (CHEPS) Institute for Healthcare Policy and Innovation (IHPI)
- Research Theme: Harness learning-based advanced analytics to optimize kidney transplantation decision-making, improve the matching of lower-quality kidneys, and minimize discard rates.