The era of materials informatics has arrived. Materials informatics is the use of computational and data-driven methods are used to inform materials design, including AI and machine learning. The DataLab podcast explores all aspects of this new and exciting field – from cutting edge of academic work, to the practical application that large global chemicals and materials companies are using to make it happen. Our exciting and inspiring guests are on the frontier of changing the speed at which high-performance materials and chemicals can be created and put to use.
Dr. Bryce Meredig, Chief Science Officer and co-founder of Citrine Informatics, researches the application of machine learning to materials science. He earned his PhD in materials science from Northwestern University, where he focused on materials informatics, and his BAS and MBA at Stanford University, where he is also on the faculty of the Department of Materials Science and Engineering. He is the author of more than 20 peer-reviewed publications, including some of the earliest on applying machine learning (ML) to materials development. He was an Arjay Miller Scholar and Terman Fellow at Stanford, and a Presidential Fellow and NDSEG Fellow at Northwestern.
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