Computational catalysis, reaction networks, process systems, machine learning
About
Integrates first-principles and data-driven approaches to understand and design catalytic and reactive systems. Work spans DFT and microkinetic modeling, rule-based reaction network generation, interpretable kinetics discovery, and process-level modeling/digital twins for chemicals and biorefineries.