Jeffrey Larson is an assistant computational mathematician at Argonne. His research centers on optimization algorithms and their implementation in software.
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.
Jeff is a lead developer of libEnsemble, a Python library to coordinate the concurrent evaluation of ensembles of computations. He develops numerical optimization methods for problems in quantum computing as Argonne lead for the Fundamental Algorithmic Research for Quantum Computing (FAR-QC) project. He also develops 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 a road network.
- Quantum computing
- Simulation-based, black-box, or derivative-free optimization
- Autonomous vehicle routing