معرفی
Michael Simonov is a Lecturer in Biostatistics with a specialization in Health Informatics at the Yale School of Public Health. He maintains dual expertise as an internist and clinical informaticist, bridging medicine, mathematics, and computational science to address healthcare challenges through data-driven approaches. His professional activities include research, teaching, and leadership roles focused on leveraging electronic health record data for clinical decision support and healthcare improvement.
Dr. Simonov earned his BS in Mathematics with honors from the University of Michigan in 2011, followed by his MD from the University of Michigan Medical School in 2015. He completed his medical internship and residency at Yale University and is board certified in Internal Medicine by the American Board of Internal Medicine since 2018. His academic journey reflects a deliberate integration of quantitative methods with clinical medicine.
His research program centers on healthcare analytics, particularly predictive and prescriptive analytics using electronic health record data. He has developed real-time predictive models for clinical applications, most notably for acute kidney injury prediction and diagnostic support. His work spans clinical informatics, biostatistics, and healthcare operations research, with applications ranging from optimizing treatment pathways to understanding healthcare disparities. The Yale DOM-CovX database, which he helped develop, exemplifies his commitment to creating research infrastructure that fosters collaboration during public health emergencies like the COVID-19 pandemic.
Analysis of his publication record reveals a consistent research trajectory focused on applying data science to clinical problems, with particular emphasis on kidney disease, cardiovascular conditions, and pandemic response. His work demonstrates methodological sophistication, combining traditional biostatistics with machine learning techniques to extract meaningful insights from complex healthcare data. He frequently collaborates across disciplines, reflecting the interdisciplinary nature of modern healthcare analytics.
Dr. Simonov previously served as the Director of Informatics at the Clinical and Translational Research Accelerator (CTRA) within the Department of Medicine at Yale, where he led various interventional data science projects. He also served as a Medical Information Officer for research at Yale New Haven Health System. These leadership roles demonstrate his ability to translate research into operational improvements within healthcare systems.