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
February 2018
Journal: Nature Communications
February 2018
Journal: Journal of Applied Crystallography
January 2018
Structural investigation of cellobiose dehydrogenase IIA: Insights from small angle scattering into…
Journal: Biochimica et Biophysica Acta (BBA) - General Subjects
November 2017
Journal: Biochemistry