Eliezer Van Allen

Eliezer Van Allen is a precision oncology researcher who has pioneered the use of machine learning and genomic analysis to discover novel biomarkers for cancer immunotherapy and targeted therapy. His computational work has identified mutational signatures and genomic features that predict response to checkpoint inhibitors beyond TMB and MSI. He has applied deep learning to histological images to extract immune phenotyping information and predict outcomes. His bioinformatics contributions bridge genomics, immunology, and clinical outcomes in precision oncology.