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Jon Maack

20202024

Research Activity per Year

Overview

Personal Profile

Jon Maack's time at NREL has been focused on stochastic optimization, including renewable scenario selection and building and modeling using Julia and JuMP, and electromagnetic transients, including modeling and detecting, for the power grid.

Research Interests

Applied probability and statistics

Software development (especially computational software)

Optimization, dynamic programming and optimal control

Mathematical foundations of power systems

Professional Experience

Graduate Teaching Assistant, University of Massachusetts Amherst (2013–2018)

Senior Software Engineer, Lockheed Martin (2012–2013)

Software Engineer, Lockheed Martin (2009–2012)

Software Engineer Internship, Lockheed Martin (2008–2009)

Education/Academic Qualification

Master, Computational and Applied Mathematics, Colorado School of Mines

Bachelor, Computational and Applied Mathematics, Colorado School of Mines

PhD, Applied Mathematics, University of Massachusetts Amherst

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