Dr. Graves is a Principal Research Scientist at Hewlett Packard Labs developing analog and neuromorphic computational accelerators which leverage emerging devices such as resistive RAM (RRAM) for high energy efficiency and throughput compared to general-purpose digital approaches. Some of her previous work utilized multilevel analog resistive RAM devices to natively perform matrix multiplication within crossbars, accelerating a core computation of wide-ranging applications from neural networks to signal processing. Currently, she leads a research team exploring uses of RRAM-based and analog content addressable memory circuits for accelerating diverse computational models, including tree-based ML models and finite automata processing for network security and genomics applications. She was awarded Silicon Valley Intellectual Property Law Association (SVIPLA) Inventor of the Year in 2021. Cat received her Ph.D. in Applied Physics from Stanford University studying ultrafast magnetism for future magnetic memory technologies while an NSF Graduate Research Fellow. She has published over 35 peer-reviewed papers, three book chapters, and has been awarded 18 US patents.