- Recommender Systems:Led recommender system research, modeling and implementation at the central analytics group on cross-game recommendation and in-game content recommendation. Pioneered and designed model deployment and serving solution which is easy and flexible to bring recommender models from prototype to production.- MatchmakingServed as the center of expertise for matchmaking. Developed machine learning based skill models and matchmaking algorithms for multiplayer online experience on multiple AAA titles. Advised on MMR systems and PvP progression design for multiple game studios. Researched performance and role based MMR skill model.- SimulationLed initiative of simulation-based optimization for matchmaking, progression, and economy. Developed generic frame work that is easy to implement across genres and franchises. Created analytics and optimization layer connecting simulated operation/business goals with design choices such as matchmaking algorithms, progression systems, as well as game parameter configurations, bringing data-driven decision support to game designs.- Forecasting and PredictionBuilt and deployed player life-time value (LTV) model for the mobile title portfolio. The model supports marketing's daily paid acquisition decisions and operations. Created machine learning based pre-launch forecasting model on game sales for PC and console titles.