Eva Lee
Director and Chief Scientist at The Data and Analytics Innovation Institute
Dr. Eva Lee is the Director of the Center for Operations Research in Medicine and Homeland Security and a Distinguished Scholar in Logistics at the Data and Analytics Innovation Institute. The center focuses on biomedicine, public health, and defense, advancing domains from basic science to translational medical research; intelligent, personalized, quality, and cost-effective delivery; medical preparedness; health and homeland security; and protection of critical infrastructures. She also serves as a subject matter expert in information and enterprise systems, risks, and decisions. Prior, Dr. Lee served as the Virginia C. and Joseph C. Mello Endowed Chair, and Professor in the School of Industrial and Systems Engineering at Georgia Tech, and Co-Director for the NSF-I/UCRC Center for Health Organization Transformation. From 2015 – 2018, Dr. Lee served on the National Biodefense Science Board, a 13-member federal committee that provides advice and guidance to the President of the United States, and the Secretary of U.S. Department of Health and Human Services. She was an expert scientific consultant for the Food and Drug Administration Center for Devices and Radiological Health from 2014-2018. She has also served as the Senior Health Systems Engineer and Professor for the U.S. Department of Veterans Affairs. Dr Lee applies combinatorial optimization, math programming, game theory and machine learning, and parallel computation to biological, medical, health systems, and logistics analyses. Her clinical decision-support systems (DSS) assist in disease diagnosis/prediction, treatment design, drug delivery, treatment and healthcare outcome analysis/prediction, and healthcare operations logistics. In logistics, she tackles operations planning and resource allocation, and her DSS address inventory control, vehicle dispatching, scheduling, transportation, telecom, portfolio investment, disaster emergency treatment response, and facility location/planning. She has received numerous practice excellence awards, including the INFORMS Franz Edelman Award on novel cancer therapeutics, the Daniel Wagner prize on vaccine immunogenicity prediction, the Pierskalla award on bioterrorism, emergency response and mass casualty mitigation, and the Caterpillar and Innovative Applications in Analytics Award on machine learning applied to multi-site best practice discovery that involves millions of patients from over 737 clinical sites. She is a fellow at INFORMS and the American Institute for Medical and Biological Engineering. Lee has served on NAE/NAS/IOM, NRC, NBSB, DTRA panel committees related to CBRN and WMD incidents, public health and medical preparedness, and healthcare systems innovation. She holds ten patents on medical systems and devices. Her work has been featured in the New York Times, London Times, disaster documentaries, and in other venues.