
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
January 2020
Journal: Nucleic Acids Research
January 2020
First Experiments New Science Opportunities at the Spallation Neutron Source Second Target Station …
ORNL Report
December 2019
First Experiments: New Science Opportunities at the Spallation Neutron Source Second Target Station…
ORNL Report
December 2019
Journal: Biochemistry
October 2019
Journal: Proceedings of the National Academy of Sciences