Natalie Wu

Before entering IP practice, Natalie worked as a memory design engineer in the semiconductor industry, where she contributed to the development of high bandwidth memory systems and supported the design and simulation of integrated circuit (IC) components, including memory arrays, I/O structures, and control logic. Her work also included building verification patterns in Verilog, analyzing silicon characterization data, and refining test methodologies to improve accuracy in device behavior and performance modeling.

Natalie has supported patent analysis, prosecution, and review matters across a range of industries, including consumer electronics, artificial intelligence (AI), as well as financial and cloud based software systems. Her experience ranges from working with multi-national electronics and software corporations to pioneering AI startup companies on matters involving semiconductor architectures, hardware acceleration, AI, and machine learning (ML) related technologies, as well as supporting software focused portfolios for clients in financial services and cloud computing environments.

Her academic training in digital system design and hands on engineering background provides a foundation for evaluating innovations in semiconductor devices, electronic systems, and modern computing architectures, allowing her to support clients across both hardware and software domains.