About me

Education and Professional Experience

Research Interest

My interests focus on using state-of-the-art computational methods, including density functional theory and classical/ab initio molecular dynamics simulations, and modern data analysis tools, i.e., machine learning algorithms, to investigate mechanistic insights into organic/transition metal-catalyzed and enzymatic reactions. Reaction mechanisms and origins of reactivity and selectivity are then quantitatively elucidated by carrying out energy decomposition analysis and kinetic modelings, which can help to rationalize experimental findings, predict effects of catalysts/reagents, and design more effective catalysts. My current works are in close collaborations with experimental groups to develop better understandings for questions of interest.

TEACHING

Award and prize