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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
Journal: Biochimica et Biophysica Acta (BBA) - Biomembranes
Journal: Frontiers in Bioengineering and Biotechnology
Journal: Protein Science
Journal: Journal of Chemical Theory and Computation