Nathan Silberman is the VP of Machine Learning at PathAI. Nathan leads the Machine Learning team who are responsible for developing a wide variety of state-of-the-art machine learning models that interpret gigapixel pathology images to identify tissue types, discover novel biomarkers, and produce clinical and diagnostic results. Prior to PathAI, Nathan was the VP of Artificial Intelligence at Butterfly Network where he led the development of a suite of real-time machine learning products for Butterfly’s iQ Ultrasound that assists medical professionals by helping them both acquire and interpret diagnostic images. Nathan also previously worked at Google Research where he contributed to Google’s TensorFlow machine learning library. He obtained his PhD and BA from New York University.