Mahdi Ghorbani, PhD

Postdoctoral Scholar

Mahdi received his PhD in Chemical and Biomolecular Engineering from University of Maryland College Park (UMD). During his PhD, he applied machine learning and Markov state modeling on molecular dynamics trajectories to better understand kinetics of protein folding. He joined Keiser Lab in 2022, where he will be applying deep learning models for drug discovery and protein-ligand interactions.

Lab papers

1. Autoregressive fragment-based diffusion for pocket-aware ligand design.

   Ghorbani M, Gendelev L, Beroza P, Keiser MJ. arXiv - NeurIPS GenBio. 2023 Nov 2.