Gholson Glass helps clients navigate the rapidly evolving patent landscape for machine learning and artificial intelligence-based innovations, in both the United States and internationally.

With over a decade of experience in helping clients protect their machine learning-based inventions – predating the introduction of the Transformer architecture – Gholson brings deep technical knowledge spanning a wide range of subject matter areas, including artificial intelligence and machine learning model development and architectural design, as well as user-facing deployments and system implementations.

Additional areas of significant experience include cellular and wireless communications systems and optimizations, network architecture, and communication protocol enhancements, including technologies considered as standardization candidates as well as though ultimately adopted to the 3GPP standards for 5G NR and beyond.

Prior to joining Polsinelli, Gholson interned at NASA’s Goddard Space Flight Center, researching optimal telerobotic control station design and implementation, and while at MIT, wrote code that ran in space.