
Explore molecular evolution and protein engineering to solve human problems through directed evolution techniques.

Discover advanced techniques for phylogenomic tree estimation, including ASTRAL, DISCO, and QR-STAR methodologies for species tree inference and branch length estimation in computational genomics.

Explore non-enzymatic RNA copying in carbonate lakes and its implications for the origin of life. Uncover groundbreaking insights into early Earth's biochemistry.

Explore protein sequence space and its implications for evolution, structure, and function with insights from statistical physics and machine learning.

Explore phylogeny and function inference using diverse sequence spaces, led by Alessandra Carbone from CNRS and Sorbonne Université.

Dive into computational approaches for studying evolutionary biology, exploring genomic patterns, molecular evolution, and machine learning applications in evolutionary analysis.