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Jeffrey M. Larson

Computational Mathematician


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 develops numerical optimization methods as a part of the FASTMath SciDAC Institute, including APOSMM, an asynchronously parallel optimization solver for finding multiple minima, and other derivative-free optimization algorithms for 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