
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
March 2016
Conformational Flexibility Enables the Function of a BECN1 Region Essential for Starvation-Mediated…
Journal: Biochemistry
February 2016
Nucleophosmin integrates within the nucleolus via multi-modal interactions with proteins displaying…
Journal: eLife
January 2016
Journal: Mechanical Properties of Nanoscopic Lipid Domains
January 2016
Journal: Biomacromolecules
October 2015
Journal: Journal of the American Chemical Society