{"id":145,"date":"2026-02-03T15:15:08","date_gmt":"2026-02-03T15:15:08","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/healthcare\/?page_id=145"},"modified":"2026-02-27T20:20:09","modified_gmt":"2026-02-27T20:20:09","slug":"plenary-speakers","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/healthcare\/plenary-speakers\/","title":{"rendered":"Plenary Speakers"},"content":{"rendered":"\n
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Plenary Speakers<\/h1> <\/div>\n<\/div>\n <\/div>\n
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Tuesday, July 28<\/h2> <\/div>\n<\/div>\n
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Decision Intelligence for Clinical Operations: Designed for Impact<\/h2>\n

Natalia Summerville, PhD<\/h4>\n

Director of Decision Intelligence <\/em>
Memorial Sloan Kettering Cancer Center<\/p>\n

Achieving impact in clinical operations requires more than well-designed models. This plenary discusses how decision intelligence efforts move from problem scoping through governance to deployment, with impact as the primary objective. Using a real workload assignment tool from medical physics, the talk highlights practical lessons on designing, governing, and implementing models so they meaningfully support clinical workflows and operational decision-making.<\/p>\n

About Natalia Summerville<\/span><\/h5>\n

Natalia Summerville, PhD<\/strong>, is the Director of Decision Intelligence at Memorial Sloan Kettering Cancer Center, where she leads the deployment of AI- and Operations Research\u2013based solutions supporting hospital operations and clinical workflows. She co-created MSK\u2019s AI Governance Operating Model and serves on the AI Governance Council, bringing 14+ years of experience turning AI, optimization, and analytics into real-world clinical and operational impact\u2014without breaking trust, safety, or common sense.<\/p>\n

Previously, Dr. Summerville led a team of Operations Research specialists within SAS Research & Development, overseeing the design and implementation of large-scale, custom analytics solutions.<\/p>\n

Her deepest passion is the Data for Good movement, with a particular focus on improving Human Milk Bank operations through data science and decision intelligence. Since 2015, she has led more than ten pro bono analytics projects with Human Milk Banks across the United States and has served as a board member of the Human Milk Banking Association of North America (HMBANA) since 2024.<\/p>\n

Dr. Summerville is an active leader within INFORMS, currently serving on the Pro Bono Analytics Board, the Franz Edelman Award Committee, and as Practice Cluster Chair for the INFORMS Healthcare Conference.She is also a published author, patented inventor, and frequent speaker.<\/p>\n

Dr. Summerville is a dedicated educator, having taught since 2005 at Tecnol\u00f3gico de Monterrey, North Carolina State University, and the Massachusetts Institute of Technology. She currently serves as an Adjunct Professor at Duke University\u2019s Pratt School of Engineering.<\/p> <\/div>\n<\/div>\n <\/div>\n

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Wednesday, July 29<\/h2> <\/div>\n<\/div>\n
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Diagnosing Complex Problems in Pediatric Emergency Medicine and Developing Comprehensive Treatment Plans<\/h2>\n

Amy Cohn, PhD, AB<\/h4>\n

Chief Transformation Officer<\/em>
Michigan Medicine\u00a0<\/p>\n

Just as the human body is a complex system of interconnecting and interdependent components, so is the healthcare system. Given such complexity, it can be easy to see the symptoms of a problem but difficult to diagnose the underlying cause (or causes). Likewise, it can be challenging to develop and coordinate a treatment plan that addresses the root problem without causing unnecessary or unacceptable harm to other components. Physicians are trained to solve these complex diagnostic and treatment planning problems for the human body. In this talk, I will discuss how I approach the challenges of \u201cdiagnosis\u2019 and \u201ctreatment planning\u201d for addressing challenges in healthcare operations.<\/p>\n

About Amy Cohn<\/span><\/h5>\n

Amy Ellen Mainville Cohn is an Alfred F. Thurnau Professor in the Department of Industrial and Operations Engineering at the University of Michigan, where she also holds an appointment in the Department of Health Management and Policy in the School of Public Health. Dr. Cohn is the Faculty Director of the Center for Healthcare Engineering and Patient Safety (CHEPS) and the Chief Transformation Officer for Michigan Medicine. She holds an A.B. in applied mathematics, magna cum laude, from Harvard University and a PhD in operations research from the Massachusetts Institute of Technology. Her primary research interests are in applications of combinatorial optimization, particularly to healthcare and aviation, and to the challenges of optimization problems with multiple objective criteria.<\/p> <\/div>\n<\/div>\n <\/div>\n

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Thursday, July 30<\/h2> <\/div>\n<\/div>\n
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Operationalizing AI in Health and Science: Governance, Alignment, and Execution<\/h2>\n

Jamie Pina, PhD, MSPH, FAMIA<\/h4>\n

Vice President of Data & AI Strategy<\/em>
RTI International

Many organizations are investing heavily in analytics and AI, yet still struggle to translate those efforts into sustained performance improvement. Drawing on his experience leading enterprise data and AI strategy at RTI International, Dr. Pina will share practical lessons on how emerging technologies can be positioned to drive meaningful organizational results. The session will focus on governance, leadership alignment, and disciplined execution approaches that help turn technical capability into measurable gains in cost, quality, access, and overall system performance.
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About Jamie Pina<\/span><\/h5>\n

With more than 20 years of experience driving advancement\u202fand\u202finnovation, Dr. Jamie Pina is a scientific\u202fand\u202fexecutive leader in biomedical\u202fand\u202fpublic health informatics. As Vice President of Data Strategy at RTI, he leads a team that positions data as a strategic institutional asset, guiding AI-driven innovation\u202fand\u202fadvancing data governance frameworks that support quality, trust,\u202fand\u202freusability in biomedical\u202fand\u202fpublic health research. Dr. Pina works to solve mission-driven challenges with cutting-edge public health\u202fand\u202fbiomedical information systems\u202fand\u202fuses research to propel the use of emerging technologies in public health practice. His recent work energizes\u202fand\u202fenhances national data architectures for public health\u202fand\u202fbiomedical research, exploring the use of health equity data models,\u202fand\u202fintegrating generative AI into public health practice to improve efficiency.<\/p>\n

He began his career in IT as a database administrator, network administrator, and software developer, and later earned a PhD in Biomedical Informatics. His research focused on electronic disease reporting and public health data systems. Since then, he has served as a Principal Investigator on major NIH initiatives and provided national thought leadership on data modernization, generative AI, and data equity.<\/p>\n

At the heart of Dr Pina\u2019s work is a commitment to designing data ecosystems that are intelligent, ethical, and usable systems that empower people and organizations to solve real-world problems at scale.\u00a0<\/p> <\/div>\n<\/div>\n <\/div>\n

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This plenary discusses how decision intelligence efforts move from problem scoping through governance to deployment, with impact as the primary objective. Using a real workload assignment tool from medical physics, the talk highlights practical lessons on designing, governing, and implementing models so they meaningfully support clinical workflows and operational decision-making.<\/p> <h5>About Natalia Summerville<\/h5> <p><strong>Natalia Summerville, PhD<\/strong>, is the Director of Decision Intelligence at Memorial Sloan Kettering Cancer Center, where she leads the deployment of AI- and Operations Research\u2013based solutions supporting hospital operations and clinical workflows. She co-created MSK\u2019s AI Governance Operating Model and serves on the AI Governance Council, bringing 14+ years of experience turning AI, optimization, and analytics into real-world clinical and operational impact\u2014without breaking trust, safety, or common sense.<\/p> <p>Previously, Dr. Summerville led a team of Operations Research specialists within SAS Research & Development, overseeing the design and implementation of large-scale, custom analytics solutions.<\/p> <p>Her deepest passion is the Data for Good movement, with a particular focus on improving Human Milk Bank operations through data science and decision intelligence. Since 2015, she has led more than ten pro bono analytics projects with Human Milk Banks across the United States and has served as a board member of the Human Milk Banking Association of North America (HMBANA) since 2024.<\/p> <p>Dr. Summerville is an active leader within INFORMS, currently serving on the Pro Bono Analytics Board, the Franz Edelman Award Committee, and as Practice Cluster Chair for the INFORMS Healthcare Conference.She is also a published author, patented inventor, and frequent speaker.<\/p> <p>Dr. Summerville is a dedicated educator, having taught since 2005 at Tecnol\u00f3gico de Monterrey, North Carolina State University, and the Massachusetts Institute of Technology. She currently serves as an Adjunct Professor at Duke University\u2019s Pratt School of Engineering.<\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/healthcare\/files\/2025\/12\/1744122675755-370x337.jpeg\" width=\"370\" height=\"337\" title=\"1744122675755\" alt=\"1744122675755\">\n<h2>Wednesday, July 29<\/h2>\n<h2>Diagnosing Complex Problems in Pediatric Emergency Medicine and Developing Comprehensive Treatment Plans<\/h2> <h4>Amy Cohn, PhD, AB<\/h4> <p><em>Chief Transformation Officer<\/em> <br>Michigan Medicine\u00a0<\/p> <p style=\"margin: 12.0pt 0in 12.0pt 0in\">Just as the human body is a complex system of interconnecting and interdependent components, so is the healthcare system. Given such complexity, it can be easy to see the symptoms of a problem but difficult to diagnose the underlying cause (or causes). Likewise, it can be challenging to develop and coordinate a treatment plan that addresses the root problem without causing unnecessary or unacceptable harm to other components. Physicians are trained to solve these complex diagnostic and treatment planning problems for the human body. In this talk, I will discuss how I approach the challenges of \u201cdiagnosis\u2019 and \u201ctreatment planning\u201d for addressing challenges in healthcare operations.<\/p> <h5>About Amy Cohn<\/h5> <p>Amy Ellen Mainville Cohn is an Alfred F. Thurnau Professor in the Department of Industrial and Operations Engineering at the University of Michigan, where she also holds an appointment in the Department of Health Management and Policy in the School of Public Health. Dr. Cohn is the Faculty Director of the Center for Healthcare Engineering and Patient Safety (CHEPS) and the Chief Transformation Officer for Michigan Medicine. She holds an A.B. in applied mathematics, magna cum laude, from Harvard University and a PhD in operations research from the Massachusetts Institute of Technology. Her primary research interests are in applications of combinatorial optimization, particularly to healthcare and aviation, and to the challenges of optimization problems with multiple objective criteria.<\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/healthcare\/files\/2025\/12\/Amy-Cohn-Healthcare-1024x683-337x310.jpg\" width=\"337\" height=\"310\" title=\"Amy Cohn Healthcare\" alt=\"Amy Cohn Healthcare\">\n<h2>Thursday, July 30<\/h2>\n<h2>Operationalizing AI in Health and Science: Governance, Alignment, and Execution<\/h2> <h4>Jamie Pina, PhD, MSPH, FAMIA<\/h4> <p><em>Vice President of Data & AI Strategy<\/em><br>RTI International<br><br>Many organizations are investing heavily in analytics and AI, yet still struggle to translate those efforts into sustained performance improvement. Drawing on his experience leading enterprise data and AI strategy at RTI International, Dr. Pina will share practical lessons on how emerging technologies can be positioned to drive meaningful organizational results. The session will focus on governance, leadership alignment, and disciplined execution approaches that help turn technical capability into measurable gains in cost, quality, access, and overall system performance.<em><br><\/em><\/p> <h5>About Jamie Pina<\/h5> <p>With more than 20 years of experience driving advancement\u202fand\u202finnovation, Dr. Jamie Pina is a scientific\u202fand\u202fexecutive leader in biomedical\u202fand\u202fpublic health informatics. As Vice President of Data Strategy at RTI, he leads a team that positions data as a strategic institutional asset, guiding AI-driven innovation\u202fand\u202fadvancing data governance frameworks that support quality, trust,\u202fand\u202freusability in biomedical\u202fand\u202fpublic health research. Dr. Pina works to solve mission-driven challenges with cutting-edge public health\u202fand\u202fbiomedical information systems\u202fand\u202fuses research to propel the use of emerging technologies in public health practice. His recent work energizes\u202fand\u202fenhances national data architectures for public health\u202fand\u202fbiomedical research, exploring the use of health equity data models,\u202fand\u202fintegrating generative AI into public health practice to improve efficiency.<\/p> <p>He began his career in IT as a database administrator, network administrator, and software developer, and later earned a PhD in Biomedical Informatics. His research focused on electronic disease reporting and public health data systems. Since then, he has served as a Principal Investigator on major NIH initiatives and provided national thought leadership on data modernization, generative AI, and data equity.<\/p> <p>At the heart of Dr Pina\u2019s work is a commitment to designing data ecosystems that are intelligent, ethical, and usable systems that empower people and organizations to solve real-world problems at scale.\u00a0<\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/healthcare\/files\/2025\/12\/IMG_1005-1024x682-337x324.jpg\" width=\"337\" height=\"324\" title=\"IMG_1005\" alt=\"IMG_1005\">","_links":{"self":[{"href":"https:\/\/meetings.informs.org\/wordpress\/healthcare\/wp-json\/wp\/v2\/pages\/145","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/meetings.informs.org\/wordpress\/healthcare\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/meetings.informs.org\/wordpress\/healthcare\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/healthcare\/wp-json\/wp\/v2\/users\/1001077"}],"replies":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/healthcare\/wp-json\/wp\/v2\/comments?post=145"}],"version-history":[{"count":87,"href":"https:\/\/meetings.informs.org\/wordpress\/healthcare\/wp-json\/wp\/v2\/pages\/145\/revisions"}],"predecessor-version":[{"id":1462,"href":"https:\/\/meetings.informs.org\/wordpress\/healthcare\/wp-json\/wp\/v2\/pages\/145\/revisions\/1462"}],"wp:attachment":[{"href":"https:\/\/meetings.informs.org\/wordpress\/healthcare\/wp-json\/wp\/v2\/media?parent=145"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}