Andrew Naylor
Biographical Sketch
Andrew Naylor is a NERSC NESAP postdoctoral fellow specializing in integrating artificial intelligence (AI) into scientific workflows for high performance computing (HPC) and cloud environments. He has collaborated with the ATLAS and CMS experiments at the Large Hadron Collider (LHC) focusing on implementing and optimizing machine learning inference-as-a-service for physics analysis. Currently, he is working with the CMS experiment to explore efficient GPU utilization with the SONIC framework on the NERSC Perlmutter supercomputer.
Andrew received his Ph.D. in experimental particle physics from the University of Sheffield in 2022, where his research involved simulating and analyzing background sources in the LUX and LZ dark matter experiments.
Visit Andrew’s LinkedIn page for more.