Mary is a registered patent agent with research experience in fluid dynamics, nonlinear dynamics, and machine learning. She focuses her practice on US and international patent prosecution, portfolio management, and patent counseling, with an emphasis on matters involving mechanics, optics, quantum mechanics, and electronics.

Prior to joining the firm, Mary was a patent agent and a technical analyst at an international law firm.

While earning her master’s degree in physics, Mary worked as a research assistant, focusing on the use of fluid dynamics and complex systems techniques to improve the design and performance of US naval ships. Mary also served as a graduate student instructor teaching introductory mechanics and electromagnetism laboratory courses as well as an advanced mathematical physics course.

As an undergraduate, Mary worked as a research assistant in a role that involved investigating the application of machine learning to data analysis for nuclear physics experiments. Additionally, she designed and implemented a machine learning algorithm for the Measurement of a Lepton-Lepton Electroweak Reaction (MOLLER) experiment at Thomas Jefferson National Laboratory.