Statistical Patterns of Darwinian Evolution. - Matteo Smerlak; Ahmed Youssef (CoRR, 2015)

Dynamical perturbation theory for eigenvalue problems. - Maseim Kenmoe; Matteo Smerlak; Anton Zadorin (CoRR, 2020)

A simple evolutionary algorithm guided by local mutations for an efficient RNA design. - Nono S. C. Merleau; Matteo Smerlak (GECCO, 2021)

Why are viral genomes so fragile? The bottleneck hypothesis. - Nono S. C. Merleau; Sophie Penisson; Philip J. Gerrish; Santiago F. Elena; Matteo Smerlak (PLoS Comput. Biol., 2021)

Parameters and determinants of responses to selection in antibody libraries. - Steven Schulz; Sebastien Boyer; Matteo Smerlak; Simona Cocco; Rémi Monasson; Clément Nizak; Olivier Rivoire (PLoS Comput. Biol., 2021)

Diversity enables the jump towards cooperation for the Traveler's Dilemma. - Maria Alejandra Ramirez; Matteo Smerlak; Arne Traulsen; Jürgen Jost (CoRR, 2022)

RAFFT: Efficient prediction of RNA folding pathways using the fast Fourier transform. - Vaitea Opuu; Nono S. C. Merleau; Vincent Messow; Matteo Smerlak (PLoS Comput. Biol., 2022)

A Fast Iterative Algorithm for Near-Diagonal Eigenvalue Problems. - Maseim Kenmoe; Ronald Kriemann; Matteo Smerlak; Anton S. Zadorin (SIAM J. Matrix Anal. Appl., 2022)

aRNAque: an evolutionary algorithm for inverse pseudoknotted RNA folding inspired by Lévy flights. - Nono S. C. Merleau; Matteo Smerlak (BMC Bioinform., 2022)