Jason Liu focuses his practice on preparing and prosecuting patent applications in the U.S. and internationally.  Jason earned his J.D. from New York University School of Law, where he served as an executive editor of the New York University Law Review.  Jason also was a research assistant under Professor Rochelle Dreyfuss, analyzing questions involving patent-eligible subject matter, and received the highest mark in his Patent Law class.  Jason is particularly adept at handling complex § 101 issues, and his win rate in appeals before the Patent Trial and Appeal Board is five times higher than the national average.

Jason’s technical expertise spans multiple disciplines, including artificial intelligence and machine learning, virtualization, cloud computing, 3D graphics and animation, cryptography, network security, augmented and virtual reality, search and recommendation algorithms, optics, sensors, and robotics.  Prior to attending law school, Jason was a researcher at Alabama A&M University, where he applied machine learning techniques to food science, training feed-forward neural networks using back propagation to predict weights of agricultural products. In addition, Jason worked as a web application developer and was a teaching assistant for the Introduction to Programming course at Cornell University.