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Kimia Ghobadi is a John C. Malone Assistant Professor in the Department of Civil and Systems Engineering. She is a member of The Center for Systems Science and Engineering and the Malone Center for Engineering in Healthcare.

Her research focuses on using mathematical models, optimization, and analytics to solve problems in complex systems. She is particularly interested in solving healthcare problems that are implementable and have a meaningful impact on the field and society. To efficiently solve such problems, she is working on developing models and techniques in inverse optimization, mixed-integer programming, and online algorithms. Her recent research interests include scheduling techniques for staff and patients in hospitals and outpatient settings, using analytics to improve overcrowding in Emergency Departments, designing radiation therapy treatment plans for brain cancer patients, and developing provably efficient online scheduling algorithms.

Prior to joining JHU in 2018, she was a postdoctoral fellow at MIT Sloan School of Management and collaborated closely with the Massachusetts General Hospital on improving healthcare operations.

Ghobadi received her BSc in Mathematics at Sharif University of Technology (Iran); an MSc in Mathematics (2006) and a thesis-based MEng in Computational Science and Engineering (2002) at McMaster University; and a PhD in Industrial Engineering at University of Toronto (2014). After her PhD, she worked with the University Health Networks and the Princess Margaret Cancer Center in Toronto on implementing automated radiation therapy treatment plans in clinical settings. She is a recipient of the INFORMS Judith Liebman Award and multiple fellowships including the Canadian National Science and Engineering fellowship (NSERC) in both graduate and postdoctoral levels.