people

I’m a Postdoctoral Appointee in the Scientific Machine Learning department at Sandia National Laboratories, where I conduct research on causal discovery methods and trustworthy machine learning. I recently completed my PhD in Computer Science at the University of New Mexico, where my dissertation focused on causal analysis methods for complex spatiotemporal systems, such as climate and Earth system models. Specifically, I developed Causal Space-Time Stencil Learning (CaStLe), a causal discovery algorithm that can recover local causal structures in spatiotemporal data. My PhD advisor was Dr. Melanie Moses and I was mentored by Dr. Matthew Fricke, Dr. Laura Swiler, Dr. Michael Weylandt, and Dr. Matt Peterson.

My current research encompasses trustworthy ML applications and causal inference methodologies. Previously, my doctoral research was funded by Sandia’s Lab Driven Research & Development (LDRD) Grand Challenge, CLDERA (CLimate impact: Determining Etiology thRough pAthways), led by Diana Bull, to develop tools for identifying etiological pathways in the climate. For more information, click here.