Hello! I am a PhD candidate in Statistics at the University of British Columbia. My supervisor is Ben Bloem-Reddy.
My interests are in causal inference, statistical methodology, and probabilistic machine learning. My current research explores how tools from generative modelling and sampling can be used to tackle statistical problems, including 1) flexible nuisance estimation for causal inference and 2) estimation and inference for distributional causal effects. On the applied side, I am broadly interested in how causal methodology and machine learning can provide data-driven solutions to problems arising in medicine, public health, the environment, and ecology.