Francesco Caredda

Ph.D. in Fisica , 38^th cycle (2022-2025)

Ph.D. obtained in 2026

Dissertation:

Interpretable and controllable Statistical Inference Models for Protein Structure Prediction and Sequence Design (Abstract)

Tutors:

Andrea Pagnani Andrea Antonio Gamba

Profile

Research topic

Statistical Physics, Inference, Protein Structure Prediction & Design, Machine Learning, Attention

Research interests

Fisica dei Sistemi Complessi / Physics of Complex Systems

Meccanica Statistica / Statistical Mechanics

Biofisica Statistica / Statistical Biophysics

Publications

Works published during the Ph.D. View all publications in Porto@Iris

Caredda, Francesco; Gennai, Lisa; De Los Rios, Paolo; Pagnani, Andrea (2026)
Controllable protein design via autoregressive direct coupling analysis conditioned on principal components. In: PLOS COMPUTATIONAL BIOLOGY, vol. 22. ISSN 1553-7358
Contributo su Rivista
Caredda, Francesco (2026)
Interpretable and controllable Statistical Inference Models for Protein Structure Prediction and Sequence Design. relatore: PAGNANI, ANDREA; GAMBA, ANDREA ANTONIO; , 38. XXXVIII Ciclo, P.: 215
Doctoral Thesis
Caredda, F.; Pagnani, A. (2025)
Direct coupling analysis and the attention mechanism. In: BMC BIOINFORMATICS, vol. 26. ISSN 1471-2105
Contributo su Rivista