Department of Biostatistics
New York, NY
I am a doctoral candidate in Biostatistics at Columbia University Mailman School of Public Health. I am completing my dissertation titled Causal inference and time series methods for N-of-1 mobile health studies with missing data, under Linda Valeri.
PhD in Biostatistics, Columbia University (expected Spring 2024)
MPhil in Biostatistics, Columbia University, 2022
BA in Applied Mathematics and Statistics, Macalaster College, 2019
My research aims to develop statistical methods to conduct causal inference with complex data. I am particularly interested in studying the implications of missing data, unobserved confounding, and latent variables on estimation and inference. My work is motivated by applications to mobile health studies for individuals with severe mental illness, including bipolar disorder and schizophrenia.