Nathaniel is a currently a Ph.D. Computer Science candidate expected to graduate in 2026. He also holds an MS in Materials Engineering (2023) from Case Western Reserve University.
Research areas include heterogeneous computing methods to drive AI while minimizing model latency and energy cost. He is also applying said discoveries to multimodal research at the intersection of computer science and materials engineering to improve and expedite discovery.