Bio
I am a research scientist with the Advanced Computing for Health Sciences section at Oak Ridge National Lab. In brief, my research interests lie in the fertile intersection of data science, statistics and health sciences, and using insights gained from solving real-world problems to inform and push-forward theoretical understanding. I am the primary developer of the FrESCO library (Framework for Exploring Scalable Computational Oncology) as part of the joint DOE-NCI MOSSAIC (Modeling Outcomes Using Surveillance Data and Scalable Artificial Intelligence for Cancer) project. Additionally, I am interested in developing uncertainty quantification and explainability methods for high-risk clinical decision settings, especially as related to cancer informatics.
Presently I am developing uncertainty quantification methods from probabilistic and geometric viewpoints utilizing tools from Bayesian inference and Topological Data Analysis respectively. Prior to my postdoc, I was a graduate research assistant in the Department of Mathematics at the University of Tennessee and a member of the Maroulas Research group at the University of Tennessee.