Our research group employs molecule dynamics simulation to explore a diverse array of projects. Our primary computational research focuses on asphaltenes, reverse micelles, ionic liquids, and biofuels. ​

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Research interests regarding asphaltenes include uncovering various chemical properties of asphaltenes and understanding their interactions within crude oil. For reverse micelles, we aim to understand the interactions between various surfactants and cation pairs to determine their behaviors in aerosols. Regarding ionic liquids, our group is focused on their applications in antimicrobial activity and the development of sustainable aviation fuels. 

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A novel research focus within our group is developing machine learning applications in the sciences. ​Machine learning applications are developing for chemical and biological problems, using image recognition and property prediction of novel compounds, such as asphaltenes. Additionally, the Wolfram Language is implemented at all levels of our teaching to introduce students to computational thinking and programming. ​​​