Mahdi Hijazi
Computational scientist
I hold a PhD in materials science and engineering from EPFL's Laboratory of Protein and Cell Engineering, with expertise in computational sciences, molecular simulations, and biomedical research, I develop innovative in-silico methods to solve complex biological challenges such as allostery (long range communication) in proteins. Passionate about bridging science and technology, I aim to drive impactful innovation in drug discovery, personalized healthcare, and data science.
Selected publications
-
Fast-forward Langevin dynamics with momentum flipsThe Journal of chemical physics, 2018 -
Structure of a D2 dopamine receptor–G-protein complex in a lipid membraneNature, 2020 -
From Sequence to Dynamics to Function: Computational Design of Allostery and Ligand Selectivity in G-Protein Coupled ReceptorsEPFL, 2024