Fabian Byléhn, Computational Drug Design

Fabian is a computational scientist with expertise in molecular dynamics, enhanced sampling, and free energy calculations for protein–ligand characterization. He brings applied pharmaceutical research experience from AbbVie, where he advanced compound prioritization using predictive FEP workflows.

His doctoral work at the University of Chicago focused on the physics of protein allostery and cryptic pocket discovery, including protein engineering to stabilize challenging complexes. Fabian applies rigorous physics-based methods to solve complex drug design problems, supporting Kuano’s mission to integrate quantum simulation with effective drug design.

Fabian holds a Ph.D. in Molecular Engineering from the University of Chicago.