Erik is a bioengineer and computational biologist specializing in AI-driven cancer research and digital histology. He earned his PhD from UC San Diego, where he developed novel software and machine learning approaches to study mutational signatures underlying human cancer. Through this work, he has contributed to global cancer research initiatives, including the NCI’s Sherlock Lung Study, the Pan-Cancer Analysis of Whole-Genomes Project, and the Cancer Grand Challenges Mutographs of Cancer Project. Erik’s work bridges genomics and histopathology to advance AI-based solutions for early cancer detection and treatment.