Professor Yun S. Song and alum Jingyi Jessica Li, PhD. ‘13 have been named as 2026 fellows at the International Society for Computational Biology.  

Song has joint appointments with Statistics and EECS at Berkeley. His research program integrates artificial intelligence, machine learning, and statistical theory to address complex biological questions. He specializes in engineering robust, scalable computational methods that enhance data accessibility for the biomedical field, while maintaining a dedicated focus on the rigorous analysis and functional interpretation of multi-omic datasets.

Jingyi Jessica Li currently has appointments at both the Fred Hutch Cancer Center and the University of Washington. She specializes in developing robust, interpretable statistical frameworks to interrogate complex biological systems. Her research centers on the mechanisms of gene function and regulation, prioritizing methodological rigor to extract meaningful insights from noisy or high-bias datasets while ensuring the reproducibility of her findings

The International Society for Computational Biology introduced the ISCB Fellows Program in 2009 to honor members who have distinguished themselves through outstanding contributions to computational biology and bioinformatics.