I'm a Ph.D. candidate in Statistics at the University of California, Santa Cruz, advised by Bruno Sansó and Raquel Prado. My research centers on Bayesian time series forecasting, quantile modeling, and uncertainty quantification, with an emphasis on scalable variational inference. I also explore modern machine learning methods for forecasting, including Deep Echo State Networks (Deep ESN).
Outside of work, I enjoy baking bread, cooking Mexican dishes, reading history, the philosophy of science, and learning German.
If you'd like to connect or discuss ideas, feel free to reach out. Thanks for stopping by!