Anik Kumar Saha

STEQ is a fast and accurate distance-based method for estimating species trees from gene trees, maintaining competitive accuracy while being asymptotically faster than existing methods.

MExConn is a multi-expert U-Net framework for segmenting multiple organelles in EM images, outperforming baselines and offering mechanistic interpretability.

MACS improves connectomics segmentation by adapting across multiple domains and using active learning, achieving significant performance gains over existing methods.