AJ Book is a Graduate Research Assistant in the Advanced Computing and Oncology Lab, working under the mentorship of Dr. Tafadzwa Chaunzwa. He is currently pursuing a master’s degree in Bioinformatics at Johns Hopkins University.
He previously studied biochemistry and mathematics at Yeshiva University, graduating summa cum laude through the Jay and Jeanie Schottenstein Honors Program. His honors thesis examined the roles of LRRC15, PTK7, B7-H3, and MMP14 at the interface between cancer-associated fibroblasts (CAFs) and cancer stem cells (CSCs), with implications for antibody–drug conjugate development in head and neck cancer.
His research focuses on applying machine learning and mathematical modeling to integrate radiologic imaging, digital pathology, and multi-omics data. By quantifying tumor heterogeneity and characterizing immune remodeling as a spatiotemporal process, he aims to develop biologically grounded computational frameworks that inform treatment strategies and improve clinical decision-making.