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Kimia Ghobadi is an Assistant Professor in the Department of Civil and Systems Engineering at Johns Hopkins University. She serves as the Associate Director of the Malone Center for Engineering in Healthcare and is a member of various research initiatives including the Center for Data Science in Emergency Medicine and the Data Science AI Institute. Dr. Ghobadi's research mainly focuses on applying mathematical models and optimization techniques to solve complex problems in healthcare systems, particularly in medical decision-making contexts. Her work involves developing models and solution techniques in inverse optimization, mixed-integer programming, and real-time algorithms. Current projects include inverse optimization models for personalized diet, radiation therapy treatment planning for cancer patients, health systems capacity management, and risk-assessment tools for falls in frail elderly patients. Dr. Ghobadi has a strong academic background, having completed her PhD in Industrial Engineering at the University of Toronto, along with degrees in mathematics from Sharif University of Technology and computational science and engineering from McMaster University. Before joining Johns Hopkins, she was a postdoctoral fellow at the MIT Sloan School of Management, collaborating with Massachusetts General Hospital.
Johns Hopkins University • Baltimore, MD
Teaching and research in the Department of Civil and Systems Engineering, focusing on healthcare systems.
Department of Pathology - PhD in Pathobiology. GRE is not required.