Shili Lin

Shili Lin develops statistical and computational methods for analyzing genomic data, with a particular focus on Hi-C data, which measures how DNA folds and organizes itself in three dimensions inside the cell nucleus. This work involves building models and software to detect patterns like chromatin loops, compare cell subtypes, and combine different genomic data types (such as single-cell Hi-C and RNA-seq) to understand how genome structure relates to gene activity and disease, including cancer. The group also works on statistical methods for genetic association studies, including detecting disease-related genetic patterns using family and population data.

Publication output has fluctuated over the last decade with peaks in 2020 and 2023, and while recent years (2024-2026) show somewhat lower counts, the 5-year average of about 10 publications per year suggests continued steady activity.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026