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Daniel Jacobson lead the first group to break the Exascale barrier (for biology) with 2.36 Exaops calculation - the fastest in the world. It led to the 2018 Gordon Bell Prize (the first ever for Systems Biology). His approaches include the use of Network Theory and Topology Discovery/Clustering, Wavelets, ML/DL (iterative Random Forests, DNNs) and Linear Algebra with MPI and Apache Spark using C, Python, Perl, Scala, and R. His lab develops methods for Genome-Wide Association Studies (GWAS) and Phenome-Wide Associations Studies (PheWAS). They are applied to population and (meta)multiomics data sets (Genomics, Phylogenomics, Transcriptomics, Proteomics, Metabolomics, Microbiomics, Viriomics, Phytobiomics, Chemiomics, etc.) to understand the functional relationships and biosynthesis, signaling, transcriptional, translational, degradation and kinetic regulatory networks at play in biological organisms and communities. Many of his projects study systems involved in the Center for Bioenergy Innovation (CBI), Plant-Microbial Interfaces (PMI) and Crassulacean Acid Metabolism (CAM) Biodesign programs at ORNL.
Computational Biology
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