Adam Spannaus is a research scientist in the Advanced Computing for Health Sciences section at Oak Ridge National Laboratory working in the fertile intersection of mathematics, computer science, and bioinformatics research. His work includes researching Bayesian approaches to deep learning and developing topological methods for interpreting deep learning models. Prior to Oak Ridge, he received his PhD in mathematics from the University of Tennessee developing novel topological and Bayesian methods to analyze disordered materials data.