
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
April 2017
Journal: Journal of Molecular Biology
March 2017
Poly(ethylene glycol)s in Semidilute Regime: Radius of Gyration in the Bulk and Partitioning into a…
Journal: Macromolecules
March 2017
Journal: Carbohydrate Research
March 2017
Conference Paper
January 2017
Journal: Physical Chemistry Chemical Physics