Dr. James Sorrentino is a computational biologist specializing in network modeling, machine learning, and context aware analysis of multi omics datasets. As Senior Scientist at Yatiri Bio, he develops statistical and ML driven frameworks that integrate proteomics with other biological data types to uncover predictive biomarkers and therapeutic insights.
He earned his Ph.D. in Bioinformatics and Systems Biology at the University of California, San Diego, where his research focused on building scalable pipelines for omics data integration and predictive modeling. Dr. Sorrentino is the author of over fifteen peer reviewed publications, holds one patent, and is recognized for advancing computational strategies that bridge complex biological data with translational applications in precision medicine.