Research Group

We study mathematical and statistical problems that arise in data science and focus on when and how statistical inference and machine learning can empower each other. Our research interests center around predictive uncertainty quantification, reproducibility in data-driven inference, statistical testing, interpretability, and robustness. Other interests include signal and image processing and sparse modeling of data.

Current

Alumni

Visiting Research Students