Meghan Dierks

Dr. Meghan Dierks serves as HHS’ Chief Artificial Intelligence Officer at ASTP/ONC and is part of the Office of the CTO. Throughout her three-decade career, Dr. Meghan Dierks has pioneered the development and implementation of advanced analytics, artificial intelligence, and machine learning solutions in healthcare. Her leadership experience spans industry, academia, government, and healthcare delivery organizations. Before returning to HHS, Dr. Dierks served as Chief Data Officer at Komodo Health, where she spearheaded the development and evaluation of AI-powered healthcare analytics tools for life sciences companies, healthcare practitioners, and patient advocacy groups. She led the company’s data strategy and governance while advancing innovative solutions, including generative AI applications based on foundational language models, knowledge graph-based machine learning, and Bayesian reasoning systems.

She has been a Harvard Medical School faculty member since 2001, teaching in the pre- and post-doctoral research and training programs in the Division of Clinical Informatics at Beth Israel Deaconess Medical Center. From 2006 to 2009, she served in the Office of the Center Director at the FDA’s Center for Devices and Radiological Health, where she led interagency and cross-jurisdictional initiatives focusing on data modeling, predictive analytics, and device shortages surveillance initiatives. Her other policy, scientific review, and advisory experiences include serving on:

Institute of Medicine’s Committee on Patient Safety and Health ITDepartment of Homeland Security’s Healthcare Sector Coordinating CouncilDepartment of Defense’s Congressionally Directed Medical Research Programs (ex officio reviewer for JWMRP)NIH Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) Review PanelMinistry of Research and Innovation, Province of Ontario, Ontario Research Fund Review Committee

Previously, Dr. Dierks also held leadership positions at GE Healthcare (Digital Technology & IT), Magellan Health, and Lumeris Health Outcomes, and she provided advisory services to Verily and Google’s healthcare technology initiatives. Dr. Dierks combines her clinical expertise as a Board-Certified General Surgeon with extensive training in computational sciences and informatics to develop, deploy, and evaluate healthcare technologies. She received her undergraduate degree from Brown University, MD from The University of Texas Health Science Center at Houston and completed her surgical residency training at Washington University School of Medicine – Barnes Hospital and the Lahey Clinic. While at Washington University, she also conducted molecular genetics research supported by a National Cancer Institute Training Grant. She pursued additional graduate studies at MIT and post-doctoral training in Biomedical Informatics in the Harvard-MIT Program in Health Sciences and Technology, supported by a National Library of Medicine Training Grant.

Dr. Meghan Dierks serves as HHS’ Chief Artificial Intelligence Officer at ASTP/ONC and is part of the Office of the CTO. Throughout her three-decade career, Dr. Meghan Dierks has pioneered the development and implementation of advanced analytics, artificial intelligence, and machine learning solutions in healthcare. Her leadership experience spans industry, academia, government, and healthcare delivery organizations. Before returning to HHS, Dr. Dierks served as Chief Data Officer at Komodo Health, where she spearheaded the development and evaluation of AI-powered healthcare analytics tools for life sciences companies, healthcare practitioners, and patient advocacy groups. She led the company’s data strategy and governance while advancing innovative solutions, including generative AI applications based on foundational language models, knowledge graph-based machine learning, and Bayesian reasoning systems.

She has been a Harvard Medical School faculty member since 2001, teaching in the pre- and post-doctoral research and training programs in the Division of Clinical Informatics at Beth Israel Deaconess Medical Center. From 2006 to 2009, she served in the Office of the Center Director at the FDA’s Center for Devices and Radiological Health, where she led interagency and cross-jurisdictional initiatives focusing on data modeling, predictive analytics, and device shortages surveillance initiatives. Her other policy, scientific review, and advisory experiences include serving on:

Institute of Medicine’s Committee on Patient Safety and Health ITDepartment of Homeland Security’s Healthcare Sector Coordinating CouncilDepartment of Defense’s Congressionally Directed Medical Research Programs (ex officio reviewer for JWMRP)NIH Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) Review PanelMinistry of Research and Innovation, Province of Ontario, Ontario Research Fund Review Committee

Previously, Dr. Dierks also held leadership positions at GE Healthcare (Digital Technology & IT), Magellan Health, and Lumeris Health Outcomes, and she provided advisory services to Verily and Google’s healthcare technology initiatives. Dr. Dierks combines her clinical expertise as a Board-Certified General Surgeon with extensive training in computational sciences and informatics to develop, deploy, and evaluate healthcare technologies. She received her undergraduate degree from Brown University, MD from The University of Texas Health Science Center at Houston and completed her surgical residency training at Washington University School of Medicine – Barnes Hospital and the Lahey Clinic. While at Washington University, she also conducted molecular genetics research supported by a National Cancer Institute Training Grant. She pursued additional graduate studies at MIT and post-doctoral training in Biomedical Informatics in the Harvard-MIT Program in Health Sciences and Technology, supported by a National Library of Medicine Training Grant.