Dan Rudoy is a patent attorney experienced in patent prosecution and client counseling in the areas of artificial intelligence, speech and image processing, software, medical devices, computer security, networking, radar systems, and electronics. He is particularly skilled in technologies related to machine learning, including deep learning, signal processing, big data, data science and bioinformatics. Dan works regularly with start-ups and midsize companies, advising them on all aspects of IP strategy and portfolio development both in the United States and abroad. Dan works with clients on many IP issues beyond patent prosecution including due diligence, trade secrets, licensing, freedom-to-operate, and litigation.
Prior to joining Wolf Greenfield, Dan was an associate staff member in the Air and Missile Defense Technology, and the Intelligence, Surveillance, and Reconnaissance Systems Technology divisions at MIT Lincoln Laboratory, where he developed target tracking, multi-sensor fusion, and discrimination technologies for radar and electro-optical infrared systems. Subsequently as a graduate student at Harvard University, he carried out research in speech and audio signal processing, computational statistics, machine learning, artificial intelligence, and atomic force microscopy. Dan received his BA in Mathematics, BSE in Computer Science, and MSE in Computer Information Science from the University of Pennsylvania, a PhD in Electrical Engineering from Harvard University, and JD summa cum laude from Suffolk University Law School.