Charles McGill

Charles McGill, Ph.D., is a researcher affiliated with the College of Engineering and the Department of Chemical & Life Science Engineering at Virginia Commonwealth University. His work bridges machine learning and chemical engineering, focusing on predictive modeling of molecular properties and reaction systems.

• Key research areas: Vapor-Liquid Equilibrium, Homogeneous Catalysis, Uncertainty Quantification, and Molecular Discovery.
• Lead developer of the Chemprop software suite for chemical property prediction using AI/ML.
• Recent publications highlight applications of deep learning and neural networks in thermodynamics and reaction mechanism analysis.

His work integrates computational tools with experimental validation, advancing automated chemical systems. No awards or grants mentioned in available data. Collaborates on projects involving spectroscopy, kinetic modeling, and catalytic design.