Min C.

Min C. is an accomplished researcher and applied scientist with experience in multi-agent reinforcement learning, federated reinforcement learning, and diffusion models at Texas A&M University since August 2020. Previously, Min C. worked at Amazon from April 2025 to August 2024, focusing on pricing algorithms using bandit and reinforcement learning techniques. An earlier role as an Algorithm Engineer at DiDi was held from July 2020 to September 2020. Min C. holds a Bachelor of Science degree in Mathematics from the University of Science and Technology of China and is pursuing a Doctor of Philosophy in Computer Engineering at Texas A&M University.