Nathan Silberman

Nathan Silberman has a diverse and extensive work experience in the field of machine learning and software engineering.

Nathan is currently the Vice President of Machine Learning at Artera since September 2022.

Prior to that, they were the Vice President of Machine Learning at PathAI from an unspecified date in 2021 to 2022. At PathAI, they led a team of 40+ machine learning and software engineers, focusing on developing advanced models for interpreting pathology images and creating MLOps infrastructure.

Before joining PathAI, Nathan was the Vice President of Artificial Intelligence at Butterfly Network, Inc. from an unspecified date in 2017 to 2021. Nathan led a team that developed AI products for ultrasound imaging, including tools for dataset creation, model training, and monitoring.

Nathan also worked at Google as a Senior Software Engineer from 2015 to 2017, where they contributed to projects in machine perception and co-created TF-Slim, a framework used in TensorFlow.

Nathan pursued their PhD in Computer Science at New York University from September 2009 to January 2015.

Nathan gained industry experience as a Research Intern at Google in 2014 and as a Research Intern at Microsoft in 2013.

Earlier in their career, they worked as a Software Engineer at Google, DoubleClick, and Citi, gaining experience in various software engineering roles.

Nathan Silberman began their education in 2000, studying Computer Science at New York University. Nathan completed their Bachelor of Arts (B.A.) degree in Computer Science in 2004. Following this, they pursued further education at New York University from 2009 to 2015, although the specific field of study and degree name during this time are unknown.