Chris has a PhD in Electrical Engineering Systems from the University of Michigan, with research emphasis on stochastic control and optimization. His early career focus was GPS R&D at Trimble, including a collaborative development of the first commercial GPS car navigation systems. He joined Qualcomm in 2001 and has led teams in 3G and 4G wireless system design, particularly for MAC layer and optimal network resource allocation. Starting in 2013 he helped launch Qualcomm’s nascent efforts into ML and AI, with important impact on hardware and software design, and application areas like speech and automotive. From 2018 he lead the AI for optimization team, with focus on compilers, graph nets, and combinatorial optimization. Currently he leads the LLM R&D team at Qualcomm AI Research, with primary R&D efforts into Efficient LLM and orchestration and design of AI agents on the edge.
