Corey Adams is an Assistant Computer Scientist with a joint appointment in the Argonne Physics Division. His research interests include fundamental physics, scalable deep learning, and high performance python and datascience software. Currently, he works on scaling algorithms for fundamental physics research with machine learning, including segmentation of high resolution particle physics datasets, sparse convolutional networks for 3D datasets, and surrogate models for nuclear theory calculations.
He received his bachelor’s degrees in both physics and mathematics from the University of Rochester (2011) and subsequently his PhD. in Physics at Yale University (2016). After a postdoc at Harvard, stationed at Fermi National Accelerator Lab, he joined the datascience group in LCF in 2018. He has been a joint appointment with the physics division since 2019.