He led the first laser pumped, x-ray probed experiment at the Linac Coherent Light Source (LCLS) in 2009. Since then, he with an emphasis on AMO science and novel instrumentation and the requisite computational methods for streaming data processing at the sensor edge, in particular targeting the million frames per second LCLS-II.

In that context he has been a core member of the SLAC AI Initiative since its inception with particular emphasis on Machine Learning for real-time information extraction. With projects ranging from x-ray spectroscopy in molecules, ultrafast materials response, radiographic medical imaging, and tokamak plasma fusion, he has become an adamant proponent of data and model marketplaces for cross-domain innovation sharing with built in provenance and value tracking for an intelligent adaptive data and model retention.

Beyond SLAC, Ryan is driving an integrative approach to instrumentation and co-design of computing infrastructure across the portfolio of Department of Energy labs and facilities as well as technologies across the computing industry. From diagnostic and detector development to algorithms and AI accelerators, from the sensor Edge to Leadership Computing Facilities, he is leveraging his hobbies and his passions to drive the bleeding edge of basic science to address the emerging challenges of automation in industry and agriculture for a better future for his daughters.