Matthew Plumlee

Assistant Professor
Industrial Engineering and Management Sciences
Northwestern University
Member, NAISE

I work and teach on the interface between data, technology and science. My research covers experimental and computational methods for combining observations and simulation models for descriptive, predictive and prescriptive purposes in large-data environments. The major tools used are machine learning and statistical analysis, large-scale optimization and designed experimentation including sequential design.

education

Doctor of Philosophy, Industrial Engineering, Georgia Institute of Technology, 2015.
Master of Science, Statistics, Georgia Institute of Technology, 2011.
Bachelor of Science, Mechanical Engineering, Purdue University, 2010.

research [papers]

select theory/methodology pubs

select application pubs

advising

teaching

funding

service


last update: April, 2021