Dipen Sangurdekar is a biotech executive and data science leader working at the intersection of translational science, AI/ML, and data platforms. He has built and led analytics and data infrastructure supporting oncology and cell and gene therapy programs, integrating molecular, clinical, and manufacturing data. His experience includes designing scalable data systems, applying machine learning to translational and clinical questions, and partnering with research, development, and clinical teams on program decisions. Dipen’s work focuses on building durable data foundations and analytical capabilities that support repeatable decision-making across the drug development lifecycle.