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  5. Active Learning for Rapid Design of Vaccines and Antibodies

Active Learning for Rapid Design of Vaccines and Antibodies

Thomas Desautels | 20-ERD-032

Executive Summary

By integrating computational and experimental tools (including high-throughput in vitro assays), we will develop a platform for the rapid design of antibodies and vaccine antigens. Based on machine learning, this revolutionary platform will enable a scalable, rapid response to biothreats.

Publications, Presentations, and Patents

Faissol, Daniel, Thomas Desautels, Feliza Bourguet. 2021. “Defense by Design: Creating Antibodies against COVID-19.” Filmed February 20, 2021 in Livermore, CA. https://www.youtube.com/watch?v=2gWSxMV-VtM

Desautels, Thomas. 2021. “Creating a Platform for Rapid Computational Antibody Design via Machine Learning, High Performance Computing, and Laboratory Experimentation.” Data Science Institute Workshop 2021: AI in Healthcare, Livermore, CA. March 25, 2021.

Desautels, Thomas. 2021. “Creating a Platform for Rapid Computational Antibody Design via Machine Learning, High Performance Computing, and Laboratory Experimentation.” Machine Learning for Industry (ML4I) workshop, Livermore, CA. August 12, 2021.