I use data science to answer questions about education, technology, and policy

At Stanford's AI Hub for Education within the SCALE Initiative, I combine data science and program evaluation to study how AI can benefit students, schools, and learning. My work uses natural language processing, machine learning, and causal inference with complex administrative, survey, and unstructured text data. I am particularly committed to helping steer AI toward the public good.

Before Stanford, I led data science, research, and engineering work at Mathematica for federal agencies including the National Science Foundation and the U.S. Department of Labor. I hold an MS in Computational Analysis and Public Policy from the University of Chicago and a BA in Economics from the Instituto Tecnológico Autónomo de México.