Kate Gaudry, Ph.D., focuses her practice at Kilpatrick Townsend on data-driven and strategic patent prosecution. Specifically, she routinely performs empirical analyses of general, portfolio-level or application-level prosecution techniques to inform her clients’ selection amongst various prosecution strategies. Through this research, she identifies probabilities and predictive factors of success for various approaches. She has authored over fifty publications sharing results of generally applicable analyses. Dr. Gaudry also frequently consults with legal-services companies to help avail big-data, statistical and artificial-intelligence tools to prosecution professionals.
Most of her clients are in the software, computers, and quantitative-biology technical areas. She holds a J.D. from Harvard Law, a Ph.D. in Computational Neurobiology from UCSD, and a B.S. in Physics from Fort Hays State University.
Harvard Law School, J.D. (2011) cum laude
University of California at San Diego, Ph.D., Computational Neurobiology (2006)
Fort Hays State University, B.S., Physics (1998)magna cum laude