I’m a PhD student at Carnegie Mellon University in Statistics, Data Science, and Public Policy. My research interests include machine learning policy and causal inference, and I’m the primary owner and maintainer of dame-flame, a Python package for matching in causal inference. In the past, I’ve worked for the United Nations as an AI and Data Science Research Fellow, and briefly as a software engineer. My Python teaching experience includes TAing introductory programming classes in Python, and Girls Who Code clubs for middle school students.
I have a large variety of hobbies, including swimming, playing music, and arts.