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

• Plumlee M, Erickson CB, Ankenman BE and Lawrence E, "Composite grid designs for adaptive computer experiments with fast inference", Biometrika, vol. 108, no. 3, pp. 749-755, 2021.
   [bibtex] [pdf] [doi]
• Eckman DJ, Plumlee M and Nelson BL, "Plausible screening using functional properties for simulations with large solution spaces", Operations Research, 2021.
  accepted
   [bibtex] [pdf]
• Plumlee M, "Computer model calibration with confidence and consistency", Journal of the Royal Statistical Society: B, vol. 81, no. 3, pp. 519-545, 2019.
   [bibtex] [pdf] [doi]
• Plumlee M and Tuo R, "Building accurate emulators for stochastic simulations via quantile kriging", Technometrics, vol. 56, no. 4, pp. 466–473, 2014.
  Implementation done in `quantkriging` on CRAN by Kevin R. Quinlan and James R. Leek.
   [bibtex] [pdf]

select application pubs

• Phillips DR, Furnstahl RJ, Heinz U, Maiti T, Nazarewicz W, Nunes FM, Plumlee M, Pratola MT, Pratt S, Viens FG and Wild SM, "Get on the BAND Wagon: a Bayesian framework for quantifying model uncertainties in nuclear dynamics", Journal of Physics G: Nuclear and Particle Physics, vol. 48, no. 7, pp. 072001, 2021.
   [bibtex] [url] [doi]
• Plumlee M, Asher TG., Chang W and Bilskie MV., "High-fidelity hurricane surge forecasting using emulation and sequential experiments", Annals of Applied Statistics, vol. 15, no. 1, pp. 460-480, 2021.
   [bibtex] [pdf] [doi]
• Plumlee M, Joseph V. R and Yang H, "Calibrating functional parameters in the ion channel models of cardiac cells", Journal of the American Statistical Association, vol. 111, no. 514, pp. 500-509, 2016.
   [bibtex] [pdf] [doi]

advising

• Ozge Surer , Current Postdoc 2020-
• David Eckman , Postdoc 2019-2021
• Gregory Keslin, Current PhD Student
• Eugene Wickett, Current PhD Student
• Moses Chan, Current PhD Student
• Collin Erickson, PhD awarded 2019
• Wenbo Sun, PhD awarded 2018

teaching

• IEMS 490, Principals of Uncertainty Quantification, Northwestern University: Winter 2021
• IEMS 401, Applied Mathematical Statistics, Northwestern University: Fall 2021, Fall 2019, Fall 2018
• IEMS 303, Statistics, Northwestern University: Fall 2021, Winter 2021, Winter 2020, Fall 2019, Winter 2019, Fall 2018, Winter 2018, Fall 2017
• IOE 465, Design and Analysis of Experiments, University of Michigan: Winter 2017, Winter 2016
• IOE 591, Bayesian Data Analysis, University of Michigan: Fall 2016.
• ISYE 3039, Methods for Quality Improvement, Georgia Institute of Technology: Fall 2014.

funding

• Frameworks: Bayesian Analysis of Nuclear Dynamics. National Science Foundation, OAC 2004601
     Senior Personnel (11 PI, co-PI and Senior Personnel), 07/2020-07/2025
• Inducing and Exploiting Grid Structures for Fast, Adaptive, and Accurate Estimation. National Science Foundation, DMS 1953111
     PI, 08/2020-08/2023
• Collaborative Research: Variational Inference Approach to Computer Model Calibration, Uncertainty Quantification, Scalability, and Robustness. National Science Foundation, DMS 1952897
     co-PI, 08/2020-08/2023
• EAGER/Collaborative Research: Exploring the Theoretical Framework of Engineering Knowledge Transfer in Cybermanufacturing Systems. National Science Foundation, CMMI 1744186
     Local PI, 06/2017-06/2018

service

• Associate Editor, Technometrics , 2019-
• Organizing Committee, Statistical perspectives on uncertainty quantification, 2017
• Best student paper competition organizer, INFORMS Quality, Reliability and Statistics Section, 2018
• Advisory council, INFORMS Quality, Reliability and Statistics Section, 2016-2018
• Treasurer, ASA Quality and Productivity Section, 2016-2018