I am a PhD student in the Department of Statistics & Data Science at Carnegie Mellon University. I work with Professor Edward Kennedy and Professor Alexandra Chouldechova on causal inference problems related to algorithmic fairness.
In summer 2019, I was a Data Scientist Intern at Google in Mountain View, where I developed causal inference methods to estimate ads lift/incrementality. In summer 2018, I was a Data Scientist Intern at Google in NYC, where I applied statistical machine learning to text classification. In summer 2017 I was a Data Science intern at Box, Inc. in Redwood City, where I built a model to identify new marketing and sales leads.
Before starting my PhD, I worked as a (Senior) Research Specialist at the Center for Advanced Study of Language at the University of Maryland. I worked on research in psycholinguistics, bilingualism, and second language acquisition.
Outside of grad school, I enjoy hiking, running, swimming, music, and learning languages.
PhD in Statistics & Data Science, 2021 (ABD as of July, 2020)
Carnegie Mellon University
M.S. in Statistics, 2017
Carnegie Mellon University
B.S. in Math, 2016
University of Maryland
B.A. in Linguistics, 2009
University of Michigan
Data Scientist Intern, Summer 2019
Google, Mountain View, CA
Data Scientist Intern, Summer 2018
Google, New York City, NY
Data Science Intern, Summer 2017
Box, Redwood City, CA
Senior Faculty Research Specialist, 2010--2016
University of Maryland Center for Advanced Study of Language