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Jeffrey M. Larson

Computational Mathematician

His research centers on optimization algorithms and their application to challenging problems ranging over quantum computing/sensing, particle acclerator design/control, and vehicle platooning/routing.


Jeffrey Larson is a computational mathematician at Argonne. His research centers on optimization algorithms and their implementation in software.

Jeff is the Argonne lead for the Fundamental Algorithmic Research for Quantum Computing (FAR-QC) project where he develops numerical optimization methods to solve problems in the quantum information sciences. He is a member of Q-NEXT, one of five National Quantum Information Science Research Centers awarded by the Department of Energy in August 2020. He is a lead developer of libEnsemble, a Python library to coordinate the concurrent evaluation of ensembles of computations. He also leads the Numerical Optimization Area in the FASTMath SciDAC Institute. He has developed APOSMM, an asynchronously parallel optimization solver for finding multiple minima, and other derivative-free optimization algorithms that exploit problem structure in scientific applications. He studies approaches for the fuel-efficient routing of autonomous vehicles through road networks.

Jeff joined Argonne in 2014 as a postdoctoral appointee. He was previously a postdoctoral researcher with the Royal Institute of Technology KTH in Sweden. He earned his Ph.D. in applied mathematics from the University of Colorado Denver in 2012.

Research Interests:

  • Quantum computing
  • Simulation-based, black-box, or derivative-free optimization
  • Optimal vehicle routing