Overview
Ethan Goldschen is an associate in Sterne Kessler’s Electronics Practice Group, where he assists in patent preparation and prosecution. His technical background includes artificial intelligence (AI), machine learning, networking, operating systems, robotics, software-defined radios, and user interfaces.
Specifically, Ethan has assisted clients to prepare and prosecute patents related to the design, implementation, and deployment of large language models. Ethan has also drafted patent applications directed towards generative AI models for software vulnerability detection and data breach prevention.
Ethan earned his J.D. from the University of Maryland Francis King Carey School of Law. During law school, Ethan interned in-house at a telecommunications company where he analyzed issues regarding copyright law and machine learning. Ethan further assisted in-house counsel analyze internal artificial intelligence practices in light of data privacy legislation. Ethan also participated in a pro bono business and patent clinic. He assisted the local community to found new businesses and obtain patent protection for their inventions. In addition, he participated in UCLA’s Cybercrimes Moot Court Competition involving issues surrounding the Computer Fraud and Abuse Act and Foreign Sovereign Immunities Act.
Prior to law school, Ethan received his B.S. and M.S. in computer science from the University of Maryland, Baltimore County. During graduate school, he was a teaching assistant for an operating systems course. Following graduate school, Ethan worked as a software engineer at Johns Hopkins Applied Physics Laboratory, working on projects related to software-defined radios and machine learning applied to signal processing.
Education
- J.D., University of Maryland Francis King Carey School of Law, cum laude
- M.S., Computer Science, University of Maryland Baltimore County
- B.S., Computer Science, University of Maryland Baltimore County, cum laude