Ananya Pavuluri

The paper develops a deep learning-based epigenetic aging clock, the Xella Clock, optimized for menstrual fluid and endometrial tissue, showing better performance than existing clocks in predicting chronological age.

The paper introduces TimeFlies, an snRNA-seq aging clock for Drosophila heads, identifies key lncRNAs as biomarkers, and shows sex-specific aging pathways.