About Me
I am currently a materials scientist in the Materials Discovery Team at the Pacific Northwest National Laboratory, specializing in ab initio modeling and active learning to help bridge the gap between simulations and experiments. Previously, I worked as a research scientist in the External Research Department at Citrine Informatics, specializing in materials informatics. Prior to this position, I worked as a postdoc in the Basic & Applied Molecular Foundations Group at the Pacific Northwest National Laboratory. My research focused on the computational study of CO2 capture and heterogeneous catalysis.
I received my B.S. in Applied Mathematics (emphasis in Physics) from UC Riverside in 2015. I then joined UC Riverside's Materials Science & Engineering graduate program in the Nanoscale & Mesoscale Energy Materials Research Group. After completing my M.S., I joined Peter A. Greaney's Computational Materials Group to finish my PhD. The focus of my dissertation was the atomistic modeling of amorphous materials, particularly amorphous metal oxides and water-in-salt electrolytes.
In my research, I combine atomistic modeling, both at the electronic (quantum) and atomic (classical) level, with machine learning methods. I am excited and passionate about developing new ways to solve novel problems in materials science and chemistry in silico in order to accelerate scientific discovery.
