Nathan is a seasoned technology leader with deep expertise in machine learning. Most recently, Nathan was the VP of Machine Learning at PathAI where his organization was responsible for developing state-of-the-art machine learning models that interpret gigapixel-scale 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 ultrasound products that assist clinicians in acquiring and interpreting diagnostic images. Nathan also previously worked at Google Research where he co-developed an internal library that became the Google TensorFlow 1.0 API. He obtained his PhD and BA from New York University.