Maja Waldron

Hello, I am an Assistant Professor of Statistics at the University of Wisconsin-Madison. My research interests include deep probabilistic modeling, generative models, and uncertainty quantification in AI. I completed my PhD under the supervision of David Blei.
My recent publications are available on Google Scholar.

Research Group

I am actively recruiting students who are interested in the statistical frontiers of modern AI. Students who are already at UW-Madison are encouraged to reach out. A great way to get involved is through our weekly reading group, where we read and discuss recent research papers on topics of interest.

Selected Work

• CAOS: Conformal Aggregation of One-Shot Predictors
  Develops finite-sample uncertainty guarantees for one-shot prediction settings using conformal methods.

Teaching

• Spring 2026: Statistical Data Visualization
• Fall 2025: Statistical Frontiers in Foundation Models and LLMs
• Spring 2025: Introduction to Applied Deep Learning

Background

Before joining UW–Madison, I was a research scientist at Bosch Research, where I worked on deep probabilistic modeling and anomaly detection. I served as a technical lead of the Bosch Center for AI (at the time Europe's largest AI lab with 150+ Ph.D. researchers) and contributed to the development of the center's strategy on foundation models. My work has led to methodological contributions published at PAMI, ICML, and ICLR, as well as to numerous patent applications.

Contact

Office: 5643 Morgridge Hall, UW-Madison
Email: maja.waldron@wisc.edu