Bio

As a computational materials engineer, my research is focused on the application of quantum chemical calculations (density functional theory) and machine learning to understand and predict the stability and properties of solid-state materials for energy conversion and storage applications. My CV as of 2/7/22 is available here and an up-to-date list of my published articles can be found here.

I will be starting as an Assistant Professor of Chemical Engineering and Materials Science at the University of Minnesota beginning August 2022 (link.

I’m currently a Postdoctoral Scholar in Prof. Gerd Ceder’s group in the Materials Science and Engineering department at the University of California, Berkeley and the Materials Sciences Division at Lawrence Berkeley Laboratory. My work in Berkeley is focused in three areas - solid-state synthesis prediction, multivalent battery design, and the autonomous discovery of novel materials.

Prior to my appointment at Berkeley, I was an NSF Graduate Research Fellow at the University of Colorado Boulder where I earned my Ph.D. in Chemical Engineering under the supervision of Prof. Charles Musgrave and Prof. Al Weimer. My thesis - “Data-driven descriptors for the thermochemistry of inorganic crystalline solids” - describes the prediction of solid-state material stability using density functional theory and symbolic regression/classification and benefited from frequent collaboration with the National Renewable Energy Lab, Fritz Haber Institute, and Berkeley Lab.

Before graduate school, I grew up in a suburb of New Orleans, LA and studied Chemical Engineering at Auburn University. In my spare time, I enjoy supporting my hometown Saints and Pelicans and staying active by playing sports, snowboarding, and spending time with my family.