I am a staff research scientist in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory. Prior to joining LLNL, I obtained my PhD in Mathematics from Texas A&M University in 2020. My research leverages numerical analysis, data science, and machine learning to enable high-fidelity, accelerated simulations, predictions, and inference of complex multiscale physics systems, spanning electronic structures, molecular dynamics, energetic materials, fusion plasmas, and subsurface geoscience. My core interests include finite element methods, multiscale methods, model reduction, and representation learning, with recent expansions into generative modeling. I am a core member of the libROM team and a co-organizer of the DDPS seminars. I am always open to discussing research, please feel free to get in touch.