Research & Publications
Michael Simonov is an internist and clinical informaticist. He attended the University of Michigan graduating with honors in mathematics. He then attended medical school at the University of Michigan prior to completing medical internship and residency at Yale.
His primary interests include health care analytics, including predictive and prescriptive analytics using data from the electronic health record. His objectives are to combine his medical, mathematical and computational backgrounds to solving operational and research questions in healthcare.
He served as the Director of Informatics at the Clinical and Translational Research Accelerator (CTRA) within the Department of Medicine working on a variety of interventional data science projects. He also served as a Medical Information Officer for research for the Yale New Haven Health System. He is currently adjunct at Yale.
Education & Training
- Internal Medicine ResidencyYale (2018)
- MDUniversity of Michigan Medical School (2015)
- BSUniversity of Michigan, Mathematics (2011)
- Board CertificationAB of Internal Medicine, Internal Medicine (2018)