Nanlin Jin joined the constraint satisfaction research and Computational Finance Group at University of Essex in 2002 as a PhD student. She works on Automated Bargaining. She uses genetic programming to approximate subgame perfect equilibrium in game theory.
Nanlin used co-evolution to evolve bargaining strategies. This allows her to handle asymmetric situations, such as the two players have different information/belief, or they have different outside options. To guide the search in genetic programming, Nanlin extended the incentive method, which was originally proposed by Dr Jin Li in his Financial Genetic Programming system (part of the EDDIE Project).