My research interests lie broadly at the intersection of time series and learning theory, with a central focus on developing valid statistical inference methods for data exhibiting complex dependency structures. Most recently, I've been exploring the emerging statistical foundations of large language models.
Preprints
Fast segmentation of watermarked texts from large language models through epidemic change-points framework.