Andrew Naylor

Andrew Naylor is a NERSC NESAP postdoctoral fellow specializing in artificial intelligence (AI) and high performance computing (HPC). His work involves accelerating scientific AI workflows, developing and optimizing large language model (LLM) applications, and collaborating with researchers and industry partners to provide technical support and training. Naylor collaborated with the ATLAS and CMS experiments at the Large Hadron Collider (LHC), where he implemented and optimized machine learning inference-as-a-service via the Nvidia Triton Inference Server for physics analysis. His current work with the CMS experiment involves exploring efficient GPU utilization with the SONIC framework on the NERSC Perlmutter supercomputer, enhancing computational efficiency and performance. Naylor earned his Ph.D. in experimental particle physics from the University of Sheffield in 2022. His doctoral research involved simulating and analyzing complex radiation background sources in the LUX and LZ dark matter experiments using advanced data analysis techniques. Visit Andrew’s LinkedIn page for more.