Presenter

Adam Spannaus is a postdoctoral research associate in the Advanced Computing for Health Sciences section at Oak Ridge National Laboratory researching Bayesian approaches to deep learning, developing topological methods for interpreting deep learning models, and scalable High Performance Computing solutions for modelling blood flow. Prior to Oak Ridge, he received his PhD in mathematics from the University of Tennessee researching methods of data analysis for materials data collected from the Center for Nanophase Materials Science at Oak Ridge National Laboratory.