Redad is a Materials scientist by trade and loves understanding fundamental atomic phenomena underlying various material behaviours and mechanical properties. As a PhD student at MDS3, he is applying cutting-edge data science and machine learning to simplify the analysis of colossal synchrotron XRD data. He want to keep solving these fundamental materials science problems using computer and data science advances in the future.

As a PhD student in Applied Mathematics with a background in Statistics, Ayorinde is currently researching with MDS3, focusing on Uncertainty Quantification and extensions to other topical areas where statistical solutions for Material Data Science problems are needed. While collaborating with other field experts, he employs statistical methodologies and machine learning to optimize processes and contribute to interdisciplinary research initiatives.

I am a PhD/MS Student in Material Science pursuing higher education. Graduate from Youngstown State University (YSU) in Chemistry with dual minors in Physics and Mathematics, I embarked on an early career with Element Materials Technology, a leading provider of materials and product qualification testing services. The evaluation of materials . I am involved in MDS3 mission as a material scientist that focuses on advanced manufacturing challenges that can be solved using data science methods.