Overview
Personal Profile
Matthew Reynolds' research at NLR is focused on applying uncertainty quantification techniques to optimal power flow problems, especially within the context of increased penetration of renewables.
Prior to joining NLR in 2017, he worked as a postdoc at the University of Colorado's departments of applied mathematics and aerospace engineering sciences. During this time, he worked on a variety of problems in topics such as residual atmosphere modeling, uncertainty quantification (UQ), and food science.
Research Interests
Uncertainty quantification
Computational multilinear algebra
Approximation theory of exponential, rational, and bandlimited functions
Education/Academic Qualification
PhD, Applied Mathematics, University of Colorado Boulder
Master, Applied Mathematics, University of Colorado Boulder
Bachelor, Geological Sciences, Geophysics Option, University of Colorado Boulder
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Collaborations and Top Research Areas From the Past 5 Years
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Empirical Comparison of Machine Learning Approaches for Black-Box Modeling of Power Conversion System Dynamics
De Florio, M., Reynolds, M., Vaidhynathan, D. & Prabakar, K., 2026, 17 p.Research output: NLR › Technical Report
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Dynamic, Symmetry-Preserving, and Hardware-Adaptable Circuits for Quantum Computing Many-Body States and Correlators of the Anderson Impurity Model
Jones, E., Winkleblack, C. J., Campbell, C., Rotello, C., Dahl, E., Reynolds, M., Graf, P. & Jones, W., 2025, In: Physical Review Research. 7, 2, 15 p.Research output: Contribution to journal › Article › peer-review
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EMT-TS Hybrid Simulation for Large Power Grids Considering IBR-Driven Dynamics
Xiong, M., Wang, B., Vaidhynathan, D., Maack, J., Liu, Y., Abhyankar, S., Palmer, B., Henriquez-Auba, R., Hoke, A., Sun, K., Vittal, V., Sajjadi, M., Khamees, M., Huang, K., Ramasubramanian, D., Verma, V., Reynolds, M. & Tan, J., 2025. 6 p.Research output: Contribution to conference › Paper
3 Scopus Citations -
Novel Approach to PV Inverter Modeling and Simulation Leveraging Experiments, Learning Based Modeling and Co-Simulation
Bennai, S., Prabakar, K., Velaga, Y. N., Ganguly, S., Vaidhynathan, D., Reynolds, M. & Balasubramaniam, K., 2025. 5 p.Research output: Contribution to conference › Paper
1 Scopus Citations -
Quantum Computing in Next-Generation Transportation Optimization
Christeson, T., Wang, Q., Reynolds, M., Jones, W., Lustbader, J. & Ugirumurera, J., 2025, 1 p. National Laboratory of the Rockies (NLR).Research output: NLR › Poster