Summary
Benjamin Tayo is a professor and graduate program coordinator with eight years of experience bridging computational materials physics, data science, and interdisciplinary engineering education. He oversees five engineering graduate programs while running a research group focused on computational materials and data-driven approaches to biophysics and materials science. A practiced educator and mentor, he teaches across undergraduate and graduate curricula, leads CREIC initiatives, and founded DataScienceHub to democratize data science learning through articles and resources. His technical repertoire spans Python, R, machine learning, predictive analytics, and bioinformatics, informed by a PhD in condensed matter physics and certificates in data and medical physics. Benjamin’s profile is notable for combining deep theoretical training (many-body and exciton theory) with practical AI and materials-science applications, and for sustaining an active public-facing role as a technical writer and educator. Based in Edmond, Oklahoma, he blends academic leadership with entrepreneurial outreach to expand access to data-driven science.
8 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Condensed Matter and Materials Physics, Summa cum laude, Doctor of Philosophy (Ph.D.), Condensed Matter and Materials Physics, Summa cum laude at Lehigh University
Professional Certificate in Data Science, Professional Certificate in Data Science at HarvardX through edX MOOC
Graduate Certificate in Medical Physics, Magna cum laude, Graduate Certificate in Medical Physics, Magna cum laude at University of Florida
Master of Science (M.Sc.), Condensed Matter and Materials Physics, Magna cum laude, Master of Science (M.Sc.), Condensed Matter and Materials Physics, Magna cum laude at University of Trieste
Bachelor of Science (B.Sc.), Physics and Computer Science, Magna cum laude, Bachelor of Science (B.Sc.), Physics and Computer Science, Magna cum laude at University of Buea