Ferres, Juan Lavista

Interpretable and Explainable Machine Learning for Materials Science and Chemistry

Oviedo, F., Ferres, J. L., Buonassisi, T., & Butler, K. T. (2022) · Accounts of Materials Research

Machine Learning in Materials ScienceExplainable Artificial Intelligence (XAI)

Cited by 435

Democratizing Protein Language Models with Parameter-Efficient Fine-Tuning

Sledzieski, S., Kshirsagar, M., Baek, M., Berger, B., Dodhia, R., & Ferres, J. L. (2023) · Proceedings of the National Academy of Sciences

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 86

Rapid and accurate prediction of protein homo-oligomer symmetry using Seq2Symm

Kshirsagar, M., Meller, A., Humphreys, I. R., Sledzieski, S., Xu, Y., Dodhia, R., Horvitz, E., Berger, B., Bowman, G. R., Ferres, J. L., et al. (2025) · Nature Communications

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 23

Rapid and accurate prediction of protein homo-oligomer symmetry with Seq2Symm

Kshirsagar, M., Meller, A., Humphreys, I., Sledzieski, S., Xu, Y., Dodhia, R., Horvitz, E., Berger, B., Bowman, G., Ferres, J. L., et al. (2024) · Nature Communications

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 22