Bio
I am a computer scientist with a research focus on evolutionary algorithms (EA) within a High Performance Computing (HPC) context. EAs are well positioned to exploit HPC platforms because of their scalable and embarrassingly parallel nature, and ORNL is ideal for research in this area due to ready access to HPC platforms, such as Summit.
Awards
July 2009, Best Graduate Student Workshop Paper at GECCO, Coletti, Mark. "Learnable evolution model performance impaired by binary tournament survival selection." In Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers, pp. 2717-2720. 2009.
November 2021, UKCI, Best paper, Scott, E.O. et al. (2022). Avoiding Excess Computation in Asynchronous Evolutionary Algorithms. In: Jansen, T., Jensen, R., Mac Parthaláin, N., Lin, CM. (eds) Advances in Computational Intelligence Systems. UKCI 2021. Advances in Intelligent Systems and Computing, vol 1409. Springer, Cham. https://doi.org/10.1007/978-3-030-87094-2_7
2022, R&D 100 Award, Gremlin: Discovering Weaknesses in Artificial Intelligence
Specialized Equipment
I use the Frontier supercomputer platform for my evolutionary computation / deep learner research.