Dr. Zach Grey graduated from the University Colorado - Boulder (CU) Aerospace Engineering Sciences department. His research began in the Applied Mathematics and Statistics Department at Colorado School of Mines (Mines) where he qualified for the Ph.D. and later transferred to CU following his research advisor, Prof. Paul Constantine. Prior to CU and Mines, Zach graduated with a B.S. in Aerospace Engineering from Embry-Riddle Aeronautical University and later an M.S. in Aeronautical and Astronautical Engineering from Purdue with an emphasis in optimization and minor in applied mathematics. In conjunction with earning his master's degree, Zach worked at the Rolls-Royce Corporation designing/analyzing gas-turbine flow-path components and eventually ending his tenure as Robust Design Technical Lead.
His research at NIST involves model-based dimension reduction and manifold learning for facilitating novel explanations and interpretations related to artificial intelligence and machine learning. Specifically, he often works with data-driven applications involving imaging/signal processing, geometry, and optimization.