Bio: Brian DeCost is a materials research engineer in the Data- and AI-Driven Materials Science Group at the National Institute of Standards and Technology. He earned a B.S. in Chemical Engineering at the University of Florida and a Ph.D. in Materials Science and Engineering at Carnegie Mellon University. Brian’s research focuses on developing and applying scientific machine learning methods and automation tools to address fundamental and applied problems in microstructure science and alloy design, with a particular focus on active learning for autonomous experiment planning and execution.

Title and abstract will be published soon.

The MICDE 2026-27 Seminar Series is open to all.

Graduate Certificate in Computational Discovery and Engineering and MICDE fellows, please use this form to record your attendance.

Questions? Email [email protected]