Samuel W. Akingbade
Schmidt Ai in Science Postdoctoral Research Fellow at University Of Michigan
Based in Ann Arbor, United States
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Seniority
Staff
Department
Science
Location
Ann Arbor
Industry
Higher Education
Company size
38K
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Background
About Samuel W. Akingbade
Dr. Samuel Akingbade is a recipient of the Eric and Wendy Schmidt AI in Science Postdoctoral Research Fellowship awarded by Schmidt Sciences and hosted by the Michigan Institute for Data and AI in Society at the University of Michigan. He has a background in Applied Mathematics, with a strong interest in leveraging mathematical theory and data-driven methods to solve real world problems across disciplines, including Finance, and more recently, exploring applications in Public Health and Biomedical research. His work is driven by the challenge of extracting meaningful insights from complex, high dimensional datasets. He employs methods such as Topological Data Analysis and is increasingly interested in combining these methods with advanced Machine Learning techniques. He is especially passionate about developing innovative analytical tools with both scientific and practical applications. In addition to this, he maintains an active interest in the application of Dynamical Systems Theory, which he explores through both theoretical and applied projects.
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