Welcome! I am a PhD candidate in the department of materials science and chemical engineering at Stony Brook University. My research is primarily focused on the use of quantum-chemical calculations, classical molecular dynamics simulations, high-throughput computational screening, and machine learning to develop new materials for energy storage and conversion applications.
PhD in Chemical Engineering, 2023
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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