International Conference on

Synthetic Biology

Paris, France   July 16-17, 2018

Eva K. Lee

Eva K. Lee

Professor
Georgia Institute of Technology
Georgia

Biography

Eva K Lee is a professor in the H. Milton Stewart School of Industrial & Systems Engineering at Georgia Tech, and Director of the Center for Operations Research in Medicine and HealthCare. She is also a Senior Research Professor at the Atlanta VA Medical Center. Dr. Lee works in the area of mathematical programming and large-scale computational algorithms with a primary emphasis on medical/healthcare decision analysis and logistics operations management. She tackles challenging problems in health systems and biomedicine through systems modeling, algorithm and software design, and decision theory analysis. Specific research areas include health risk prediction, early disease prediction and diagnosis, optimal treatment strategies and drug delivery, healthcare outcome analysis and treatment prediction, public health and medical preparedness, large-scale healthcare/medical decision analysis and quality improvement. Dr. Lee's research in logistics focuses on large-scale optimization and algorithmic advances for optimal operations planning and resource allocation. She has developed decision support systems for inventory control; large-scale truck dispatching, scheduling, and transportation logistics; telecommunications; portfolio investment; and emergency treatment response and facility layout and planning.


Research Interest

Mathematical theory and modeling - complex/systems modeling, optimization and logistics theory, machine learning and predictive algorithms, decision theory and risk analysis. High-performance computing - information technology, software enterprise design for industrial, biomedicine, and healthcare applications. Large-scale optimization - linear/nonlinear mixed integer programming, combinatorial optimization, parallel algorithms. Biomedicine and clinical research - biomedical modeling, informatics and algorithmic strategies for genomic analysis, health risk prediction, early disease prediction and diagnosis, optimal treatment strategies and drug delivery, healthcare outcome analysis and treatment prediction. Healthcare policy, management, and decision analysis - systems modeling, quality improvement, operations efficiency, organizational transformation. Public health and medical preparedness - emergency response, large-scale dispensing, disease propagation analysis, and economic impact. Homeland security and defense - surveillance and detection, biodefense, radiological emergency preparedness, medical countermeasures, large-scale response and disaster relief logistics, population protection, design of resilient critical infrastructure. Industrial applications - efficiency and quality of services; portfolio optimization, organizational transformation

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