Thomas Brettin is a Strategic Program Manager at Argonne National Laboratory with over 20 years of experience at the intersection of computing and biology within the U.S Department of Energy’s (DOE) National Laboratories. Previously, Tom held positions of Distinguished Research Scientist position at Oak Ridge National Laboratory, Production Informatics Group Leader at the U.S. Department of Energy’s Joint Genome Institute, and several positions in the Theoretical Biology and Biophysics Group and Bioscience Division of Los Alamos National Laboratory.
Thomas’s current work focuses on several projects that are leveraging artificial intelligence and high-performance computing to address global health security issues related to cancer treatment and antimicrobial resistance in bacterial pathogens.
In the cancer treatment problem, our work aims to predict tumor cell response to drug treatments through the use of experimental data generated on tumor cell lines and patient derived xenographs. This work represents a collaboration with the National Cancer Institute, other DOE National Laboratories and industry. In the antimicrobial resistance problem, our aim is to use genomic information from bacterial pathogens to predict resistance or susceptibility phenotypes. This work is a collaboration between the University of Chicago and University of Virginia under the auspices of the National Institute for Allergy and Infectious Disease, NIH.
Our work is aided by work that focuses on scaling deep learning methods to the Department of Energy’s supercomputers. As part of the DOE ExaScale Computing Project, our aim is to bring exa-scale computing and deep learning to hard problems in cancer biology research while challenging the state-of-the-art in high performance computing.
AI/Machine Learning/Deep Learning
Scientific Software Development