Basic Information

William Clayton Thompson ('Clay')

Research Assistant Professor
Center for Research in Scientific Computation
Department of Mathematics
North Carolina State University
Raleigh, North Carolina

Postdoctoral Researcher
Infection Biology Group (Members)
Department of Experimental and Health Sciences
Parc Recerca Biomedica de Barcelona
Universitat Pompeu Fabra
Barcelona, Spain

Office: Cox 506A (919-513-7084)

Research Interests

Mathematical/computational immunology and physiology, pathogensis modeling, treatment/control
Mathematical modeling and calibration techniques; analysis of experimental data
Uncertainty quantification, variability modeling, rigorous model comparison
Mathematical and statistical aspects of inverse problems
Practical applications of functional analysis

Current Research

Extensions of model comparison tests, asymptotic theory for least squares problems
Computational methods for nonparametric estimation of measures in inverse problems
Quantitative analysis of dynamic responsiveness in lymphocyte cultures (growth, division, differentiation)
Statistical/error modeling for random sampling via flow cytometry

Recent Publications

(all publications)

H.T. Banks, Dustin Kapraun, W. Clayton Thompson, Cristina Peligero, Jordi Argilaguet, and Andreas Meyerhans, A Novel Statistical Analysis and Interpretation of Flow Cytometry Data, J. Biological Dynamics (submitted).

H.T. Banks and W. Clayton Thompson, Least squares estimation of probability measures in the Prohorov Metric Framework, Inverse Problems (submitted).

Amanda Choi, Tori Huffman, John Nardini, Laura Poag, W. Clayton Thompson, and H.T. Banks, Modeling CFSE Label Decay in Flow Cytometry Data, Applied Math Letters (accepted).

H.T. Banks, Zackary R. Kenz, and W. Clayton Thompson, An extension of RSS-based model comparison tests for weighted least squares, Intl. J. Pure and Appl. Math 79 (2012), 155-183.

Recent Presentations

(all presentations)


(past courses)

(Fall 2012-present) Co-adviser, Interdisciplinary Training for Undergraduates in Biological and Mathematical Sciences (UBM)
Sponsored by National Science Foundation
Project on mathematical modelling in immunology
Advised four students in undergraduate research (two from mathematics, two from biology)

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