I study Data Science @ UMich.
I'm currently interested in representation learning, applied ML for science, and model-based policy for imperfect information games.
Recently, I've been working on:
- Online bayesian approaches for efficiently adaptive world models
- Semi-self-supervised computer vision models for scientific applications @ UMich LSI
- Cost-efficient automation and minimalist LLM integration for enterprise clients (NDA)
- Applied data science for public health
- Very low budget homelabbing for data collecting services




