Kaitlyn Lee


Kaitlyn Lee is a MA/PhD student in Biostatistics at the University of California, Berkeley mentored by Alejandro Schuler. Her research interests are broadly in causal inference, machine learning, and methods research. She is interested in developing methods to answer real-world questions about health and social policy in a statistically rigorous manner. Her current work focuses on causal inference with continuous treatment variables and modified treatment policies.

Research interests: 

Causal Inference, Methods, Semi-parametric Estimation, Machine Learning