About

I am an applied data scientist currently pursuing an M.Sc. in Mathematics. I am interested in how statistical modeling and machine learning can be applied to real-world problems.

The question at the center of my work is when a model can be trusted: What assumptions does it make, how does it handle uncertainty, and how does it compare with meaningful baselines?

In YahtzeeRL, I evaluate a self-play agent against a heuristic strategy. For solar forecasting, I compare recurrent models with seasonal and persistence baselines across multiple forecast horizons.