About
I am a fifth-year Ph.D. student in the Department of
Statistics
at the University of Washington advised by Elena Erosheva. I am broadly interested in causal inference, causal discovery, and fairness. In my PhD, I develop methodologies for causal fairness and causal discovery, focusing on applications in the social sciences.
During my PhD, I have interned as an Applied Scientist for Amazon's primary experimentation team: Weblab. Before coming to UW, I worked as a data scientist at Marinus Analytics. Here, I analyzed time series data from unstructured child welfare case records to identify factors associated with child removals and reunifications in the child welfare system. Additionally, I implemented spam filters and underage person detection algorithms in TraffickJam, an application that supports law enforcement by analyzing human trafficking advertisement data to identify victims and traffickers.
I received my Bachelor of Science degree in Statistics and Machine Learning from Carnegie Mellon University where I worked with Peter Freeman and Alexandra Chouldechova.
You can find my CV here.
General Interests
1. Causal Inference
2. Causal Discovery
3. Fairness