Welcome! I am a Research Scientist in the Medicinal Chemistry department at Biogen. My expertise is in computational chemistry and cheminformatics, focusing on quantum-chemical calculations, molecular dynamics simulations, high-throughput computational screening, and machine learning. While I am currently working on drug discovery, my PhD work, as well as my ongoing interests, include the design of new materials for energy storage and conversion applications.
PhD in Chemical Engineering, 2024
Stony Brook University
MS in Chemical Engineering, 2018
Northeastern University
BE in Chemical Engineering, 2016
American University of Beirut
An open-source Python package is developed to automate complex hierarchical simulations through the definition of modular density functional theory (DFT) and classical molecular dynamics (MD) workflows for materials science computations.
A fully automated, high-throughput computational framework accurately predicts stable species in liquid solutions by computing the nuclear magnetic resonance chemical shifts. Data collected from the framework can provide fingerprints to guide the rational design of liquid solutions with optimal properties.
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