Shams Mehdi

Shams Mehdi

Postdoctoral Research Associate Department of Chemistry, Carnegie Mellon University

I am a postdoctoral researcher working with Professor Olexandr Isayev at CMU. My research focuses on developing algorithms for machine-learned interatomic potentials and AI-accelerated molecular dynamics simulations for understanding molecular processes and solving the inverse design problem in drug discovery.

Molecular and machine-learning research illustration

Research

My work sits at the interface of molecular dynamics simulations, machine learning, and interpretable AI. I build AI-integrated enhanced-sampling methods to study rare molecular events, develop machine-learned interatomic potentials, and design explainable-AI techniques that make black-box models transparent and trustworthy — with applications ranging from protein folding to RNA-targeted drug discovery.

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