I am a postdoctoral fellow at the University of Texas at Austin. I research machine learning for causal inference and develop software to help practitioners better estimate causal effects with large-scale, observational data.Prior to joining UT, I received my PhD in Statistics at Arizona State University, where my research focused on causal machine learning and machine learning interpretability.Before my PhD, I worked at two consulting firms (Cornerstone Research and Oliver Wyman), where I designed surveys / choice experiments, built financial models, and served as a technical mentor.