Summary
Yi Mei is a Professor and Associate Dean (Research) at Victoria University of Wellington with 11 years of post-PhD experience leading research in evolutionary computation, AI, and machine learning. She co-leads the Evolutionary Computation Research Group’s strategic direction in scheduling and combinatorial optimisation, applying evolutionary algorithms to hard real-world problems like vehicle routing, last-mile delivery, supply chain scheduling and cloud resource optimisation. Her work spans memetic algorithms, genetic programming, cooperative co-evolution and hyper-heuristics, with a recurring focus on scaling evolutionary approaches to large, dynamic problems. Notably, her background includes applied projects in personalized journey planning and computational finance, reflecting a strong track record of translating theory into practical solutions. Based in Wellington, New Zealand, she combines academic leadership with hands-on problem-solving for industry-relevant optimisation challenges.
11 years of coding experience
5 years of employment as a software developer
Ph.D. Computer Science, Ph.D. Computer Science at University of Science and Technology of China
English, Chinese, Chinese