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