Enrique del Castillo

Enrique del Castillo is a Distinguished Professor of Engineering at Pennsylvania State University, holding dual appointments in the Department of Statistics and the Industrial & Manufacturing Engineering Department. He specializes in Engineering Statistics, focusing on process optimization, quality control, and advanced data analysis techniques for complex datasets such as manifold and image data. His work bridges statistical methodology, engineering metrology, and machine learning.

Education: B.S. Mechanical/Electrical Engineering (National University of Mexico, 1986), M.Eng. Operations Research (Cornell, 1988), Ph.D. Industrial Engineering (Arizona State, 1992).

Research Interests: Process optimization, experimental design, time series control, Bayesian statistics, manifold learning, and applications in manufacturing, biology, and nutrition. Notable contributions include geometrical approaches to statistical process control and active learning methods for engineering systems.

Awards: Fulbright Scholar (2006, 2019), NSF CAREER Grant (1996-1999). He has held visiting professorships at institutions worldwide, including Politecnico di Milano and National University of Singapore. Over 120 refereed papers and two textbooks to his name.

Teaching: Courses in regression analysis, design of experiments, reliability engineering, and response surface methods. Active in editorial roles for journals like Technometrics and Journal of Quality Technology.