Raphael Pelossof is a computational oncology and machine learning expert, actively leading projects focused on biomarker discovery in cancer, with a particular emphasis on disease progression, response to therapy, and detection of residual disease. Additionally, he possesses expertise in real-world evidence (RWE) and traditional clinical evidence, and plays a significant role in leading algorithm design for molecularly driven drug screens. His work aims to advance the field of oncology by leveraging computational techniques and machine learning for personalized and effective cancer treatments.