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David Sheen

David's expertise is in model development and uncertainty analysis, including Bayesian model updating and experimental design. He has applied these techniques primarily to detailed modeling of chemical processes such as high-temperature hydrocarbon oxidation, where a model with a large number of estimated but uncertain parameters must be constrained against experimental measurements with uncertainty. As part of this research, he has developed models for the oxidation of ethylene and heptane as reference fuels, combining measurements from a variety of sources into a single cohesive model. At NIST, he has created unified models for the decomposition of hydrocarbons based on a range of rate measurements for different substances. Lately, his research is extending into uncertainty analysis for process control and automated substance identification in metabolomics.

Professional Awards and Recognition:

  • National Research Council Postdoctoral Associateship, 2012
  • Dean's Fellowship, University of Southern California, 2005

Membership and Professional Activities:

  • The Combustion Institute, 2005-Present
  • American Society for Mechanical Engineers, 2012-Present
  • Society for Industrial and Applied Mechanics, 2012-Present

Other Publications:


Metabolomics Test Materials for Quality Control: A Study of a Urine Materials Suite

Dan Bearden, David A. Sheen, Yamil Simon, Bruce A. Benner Jr., Werickson Fortunato de Carvalho Rocha, Niksa Blonder, Katrice A. Lippa, Richard Beger, Laura Schnackenberg, Jinchun Sun, Khyati Mehta, Amrita Cheema, Haiwei Gu, Ramesh Marupaka, Nagana Gowda, Daniel Raftery
There is a lack of experimental reference materials and standards for metabolomics measurements, such as urine, plasma, and other human fluid samples. Reasons
Created October 23, 2018