Landon is a first year Ph.D. student in EECS at Berkeley, advised by Kannan Ramchandran and supported by the NSF GRFP. Previously, he completed his Master's in Data Science and his Bachelor's in Systems Engineering at the University of Pennsylvania, where he researched under the supervision of Alejandro Ribeiro. His research lies at the intersection of network science, machine learning, and game theory, where he designs mathematical and computational approaches to model, learn, and infer the dynamics of complex real-world systems. He has applied this work to a diverse set of domains including aviation, social systems, and robotics.