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
May 2022
Journal: Biophysical Journal
March 2022
Conference Paper
February 2022
Journal: Cancer Biomarkers
January 2022
How Distinct Structural Flexibility within SARS-CoV-2 Spike Protein Reveals Potential Therapeutic…
Conference Paper
December 2021
Conference Paper