Mahdi Hijazi

Computational scientist

profile_pic_snow_cropped_square.jpg

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

  1. Momentum flips.png
    Fast-forward Langevin dynamics with momentum flips
    Mahdi Hijazi, David M Wilkins, and Michele Ceriotti
    The Journal of chemical physics, 2018
  2. GPCR_wiggling_gif.gif
    Structure of a D2 dopamine receptor–G-protein complex in a lipid membrane
    Jie Yin, Kuang-Yui M Chen, Mary J Clark, and 6 more authors
    Nature, 2020
  3. art_DD2R.png
    From Sequence to Dynamics to Function: Computational Design of Allostery and Ligand Selectivity in G-Protein Coupled Receptors
    Mahdi Hijazi
    EPFL, 2024