Isibor Arhuidese

Isibor Arhuidese

Assistant Professor Of Biomedical Informatics And Data Science @ Yale University

About Isibor Arhuidese

Isibor Arhuidese serves as an Assistant Professor of Biomedical Informatics and Data Science at Yale University, where he has worked since 2023. He specializes in advancing vascular and endovascular surgery through research and education.

Current Position at Yale University

Isibor Arhuidese serves as an Assistant Professor of Biomedical Informatics and Data Science at Yale University, a role he has held since 2023. In addition to this position, he also holds appointments as an Assistant Professor of Epidemiology and Surgery at Yale University, where he has been contributing since 2022. His work focuses on advancing the science and practice of vascular and endovascular surgery through research and education.

Educational Background

Isibor Arhuidese studied at several prestigious institutions. He completed his education at The Johns Hopkins University School of Medicine, where he gained expertise in biomedical informatics and data science. Prior to this, he attended the University of South Florida and the University of Benin. His academic journey includes a significant tenure at the Johns Hopkins Bloomberg School of Public Health, where he was a graduate student from 2012 to 2013.

Research and Clinical Focus

Isibor Arhuidese is involved in advancing the science and practice of vascular and endovascular surgery. His research and clinical work emphasize the use of state-of-the-art medical, endovascular, and open surgical therapies to address vascular problems. This focus aligns with his roles in education and research, contributing to improved outcomes in vascular health.

Previous Experience at Johns Hopkins

Before his current roles at Yale University, Isibor Arhuidese worked at the Johns Hopkins Bloomberg School of Public Health as a graduate student from 2012 to 2013. This experience provided him with a solid foundation in public health, which complements his current focus on biomedical informatics and data science.

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