
Bio
Chris Stanley is a Research Scientist in the Scalable Biomedical Modeling Group at ORNL. He is currently applying machine learning and deep learning methods across various health data and scientific applications. His work focuses on developing privacy-preserving deep learning techniques, with federated learning and differential privacy.
Publications
December 2023
Journal: Frontiers in Bioengineering and Biotechnology
August 2023
Journal: Protein Science
April 2023
Journal: Journal of Chemical Theory and Computation
July 2022
Asynchronous Reciprocal Coupling of Martini 2.2 Coarse-Grained and CHARMM36 All-Atom Simulations in…
Journal: Journal of Chemical Theory and Computation
July 2022
Journal: SoftwareX