Professor Kuhn’s research and teaching interests include technological innovation, intellectual property, corporate strategy and entrepreneurship. Much of his research focuses on the causal impact of the patent system on firm decisions and outcomes. For instance, Professor Kuhn examines how winning a patent race or receiving broader patent protection affects firm decisions to invest in cumulative innovation, transfer technology or maintain a patent portfolio.
Professor Kuhn also applies his training in computer science and mathematics to advance the empirical analysis of technological innovation through big data. For example, he develops new data sets and measures by writing computationally intensive programs and executing them in cloud computing environments.
Professor Kuhn has many years of experience representing firms in their patent applications and advising firms on their IP strategy. His specializations include cloud computing, machine learning, data processing and analytics, complex algorithms, large-scale systems architecture, computer-implemented business processes, and mobile device applications. He is currently Of Counsel at Kwan & Olynick, LLP. Companies he has represented include Salesforce, Dell, MobiTV, Cisco, Systems, Turn, Fyusion, Portworx, and Boeing.
Professor Kuhn received his PhD in business and public policy and MS in business administration from the Haas School of Business and his JD from the School of Law at the University of California, Berkeley. He received a BA in psychology and a BS in computer science and mathematics from Purdue University.