Dr. Minot Mason
Area of Interest
- Machine learning for drug development
- Generative models
- Geometric deep learning
- Learning on graphs
Publications
Ehling R.*, Minot M.*, Overath M., Sheward D., Han J., Gao B., Taft J., Pertseva M., Weber C., Frei L., Bikias T., Murrell B., Reddy S., external page “Synthetic coevolution reveals adaptive mutational trajectories of neutralizing antibodies and SARS-CoV-2” bioRxiv (2024).
Minot M, Reddy S., “Meta Learning Improves Robustness and Performance in Machine Learning-Guided Protein Engineering” (2024) external page Cell Systems.
Yang, A., Jude, K. Lai, B., Minot, M., Kocyla, A., Glassman, C., Nishimiya D., Seok Kim, Y., Reddy, S., Khan, A., Garcia, C.,“external page Deploying synthetic coevolution and machine learning to engineer protein-protein interactions” (2023) Science.
Minot M, Reddy S., “Nucleotide augmentation for machine learning-guided protein engineering,” (2022) Bioinformatics Advances.