John has extensive experience developing patent portfolios for startups and midsized companies and helping large clients manage and expand their existing portfolios. His robust understanding of machine learning enables him to draft highly tailored and defensible patent claims, anticipating potential challenges and aligning with his clients’ technical and business objectives. John approaches each case with intellectual rigor and meticulous preparation and communicates complex technologies in clear, practical terms. He collaborates seamlessly with inventors, in-house counsel, and patent examiners to pursue favorable outcomes.
John earned his law degree from Georgetown University Law Center and holds M.S. degrees in Biomedical Engineering from Yale University and Mathematics from Queen’s University. His research has been published in peer-reviewed journals, and he has held research appointments at leading institutes in France and Germany.”
*Admitted only in Hawaii. Not admitted to practice in Washington, D.C. Work conducted in Washington, D.C., is directly supervised by a member of the D.C. bar or is limited to U.S. federal courts or agencies listed in admissions or otherwise authorized by law.
