Tom Bryan
Staff Software Engineer
Tom is a Staff Software Engineer in the New York office. At Keystone, he focuses on intellectual property and copyright cases involving generative AI and other large-scale software systems.
Prior to joining Keystone, Tom was a Research Fellow in the Harvard Economics Department, where he developed techniques to extract economic data from unstructured text and image sources and published work on efficient ML inference at venues including NeurIPS, ACL, and EMNLP. Tom holds a BS in Applied Mathematics from Brigham Young University and loves spending time with his Barbet, Suki.
Education
- B.S. in Applied Mathematics from Brigham Young University