Christopher B Stanley

Research Scientist

Contact

stanleycb@ornl.gov | 865.574.6669

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

Structural analysis and functional evaluation of the disordered ß–hexosyltransferase region from Hamamotoa (Sporobolomyces) singularis

Journal: Frontiers in Bioengineering and Biotechnology

December, 2023

Structural characterization of an intrinsically disordered protein complex using integrated small-angle neutron scattering an...

Journal: Protein Science

August, 2023

Machine Learning-Driven Multiscale Modeling: Bridging the Scales with a Next-Generation Simulation Infrastructure...

Journal: Journal of Chemical Theory and Computation

April, 2023

Asynchronous Reciprocal Coupling of Martini 2.2 Coarse-Grained and CHARMM36 All-Atom Simulations in an Automated Multiscale F...

Journal: Journal of Chemical Theory and Computation

July, 2022

drtsans: The data reduction toolkit for small-angle neutron scattering at Oak Ridge National Laboratory...

Journal: SoftwareX