Michelle (Mickey) Mancenido’s research focuses on the design and analysis of statistical experiments in engineering, scientific, and industrial applications. Mancenido's expertise is in optimal experimental designs, statistical modeling for chemical and mixture experiments, and sensory experiments. She’s an advocate of well-designed experiments as the key to robust scientific conclusions, user-centric product design and efficient industrial processes. She joins the School of Mathematical and Natural Sciences as an assistant professor of statistics.
Ph.D. Industrial Engineering, Arizona State University
Master of Science, Industrial Engineering, University of the Philippines
Master of Statistics, University of the Philippines