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James C. Spall is a Research Professor at the Johns Hopkins University Whiting School of Engineering, leading advancements in applied mathematics and statistics. He has held significant positions including chair of the Applied Computational Mathematics Program and co-chair of the Data Science Program. With a robust background at the Johns Hopkins University Applied Physics Laboratory, Spall has made substantial contributions to the fields of control systems and statistics, authoring numerous research publications and books. His expertise encompasses stochastic systems, parameter estimation, optimization, Monte Carlo methods, neural networks, and Kalman filtering, among others. Spall's dedication to education has been recognized with several accolades, including the EP Excellence Teaching Award and the Professor Joel Dean Award for Excellence in Teaching. He is a Fellow of the IEEE and a member of the American Statistical Association, showcasing his influence and commitment to his discipline. With U.S. patents to his name, his work continues to push the boundaries of engineering and statistics.
Johns Hopkins University Whiting School of Engineering • Baltimore, MD
Leading research and education in applied mathematics and statistics.
Department of Pathology - PhD in Pathobiology. GRE is not required.