{"id":1417,"date":"2023-01-25T16:13:00","date_gmt":"2023-01-25T16:13:00","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/speakers\/rainer-dronzek-copy\/"},"modified":"2023-02-22T15:17:10","modified_gmt":"2023-02-22T15:17:10","slug":"eva-lee","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/speakers\/eva-lee\/","title":{"rendered":"Eva Lee"},"content":{"rendered":"\n
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\n Eva Lee <\/h3>\n <\/div>\n \n <\/div>\n <\/div>\n
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Eva Lee<\/span><\/h1>\n

Director and Chief Scientist at The Data and Analytics Innovation Institute<\/span><\/span><\/h1>\n
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.<\/div> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n
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Track: Defense<\/h6> <\/div>\n<\/div>\n\n
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U.S.-Mexico Border: Strategic Security Measure Allocation for Better Surveillance and Safety<\/h2>\n

The large influx of immigrants across the US-Mexico border has seriously strained the US Government\u2019s capacity to handle border safety and protection. Working with the U.S. Customs and Border Patrol (CBP), we design a quantitative construct for optimizing security measure investments to achieve the most cost-effective deterrence and detection capabilities for CBP. We constructed a large-scale multiple-objective portfolio optimization problem that rapidly returns good Pareto optimal results. The model incorporates the utility of each countermeasure and the probability of success, along with multiple other objectives. To the best of our knowledge, our work presents the first mathematical model that optimizes security strategies for the CBP and is the first to introduce a utility factor to emphasize deterrence and detection impact. The model accommodates different resources, constraints, and various types of objectives. The solution methodologies being put in place are complex, current state-of-the-art, and very effective.<\/p> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"

Eva Lee 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 […]<\/p>\n","protected":false},"author":1001094,"featured_media":153,"parent":712,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"class_list":["post-1417","page","type-page","status-publish","has-post-thumbnail","hentry","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"acf":[],"yoast_head":"\nEva Lee - 2023 INFORMS Business Analytics Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/speakers\/eva-lee\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Eva Lee\" \/>\n<meta property=\"og:description\" content=\"Eva Lee 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. 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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.\n<h6>Track: Defense<\/h6>\n<h2>U.S.-Mexico Border: Strategic Security Measure Allocation for Better Surveillance and Safety<\/h2> <p>The large influx of immigrants across the US-Mexico border has seriously strained the US Government\u2019s capacity to handle border safety and protection. Working with the U.S. Customs and Border Patrol (CBP), we design a quantitative construct for optimizing security measure investments to achieve the most cost-effective deterrence and detection capabilities for CBP. We constructed a large-scale multiple-objective portfolio optimization problem that rapidly returns good Pareto optimal results. The model incorporates the utility of each countermeasure and the probability of success, along with multiple other objectives. To the best of our knowledge, our work presents the first mathematical model that optimizes security strategies for the CBP and is the first to introduce a utility factor to emphasize deterrence and detection impact. The model accommodates different resources, constraints, and various types of objectives. The solution methodologies being put in place are complex, current state-of-the-art, and very effective.<\/p>","_links":{"self":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/pages\/1417","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/users\/1001094"}],"replies":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/comments?post=1417"}],"version-history":[{"count":11,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/pages\/1417\/revisions"}],"predecessor-version":[{"id":2859,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/pages\/1417\/revisions\/2859"}],"up":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/pages\/712"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/media\/153"}],"wp:attachment":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/media?parent=1417"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}