Content Platform at Tencent is the centralized platform that provides article and short video contents for family of products within PCG, including QQ, Tencent Browser, Tencent Videos, Tencent News and Weishi.The data science team tackles diverse hard business problems with data science where - business problems include creator/content growth, product optimization, product health monitoring, business cost reduction, pricing, content supply chain management- data science tech stack to solve business problems include metric dashboarding/variation attribution/anomaly detection/forecasting/backcasting, machine learning modeling, optimization, causal inference and experimentation

WaterMirror is the first company in China that dedicates to implement Physical Internet. Physical Internet is the new logistics paradigm in which assets and resources from various logistics stakeholders can be shared and accessed in a hyperconnected, highly collaborative and open network, and demand from shippers can be pooled and consolidated by means of standardization and protocols. Led a team of 10people.(1) first round of funding about 10 million dollars.(2) physical internet analytics and planning - encapsulation service: fill rate maximization of packing containers - networking service: developed large scale agent-based simulation for node operations and ML based cost modeling - routing service: routing of containers among nodes using heuristic methods(GRASP, etc). - orchestration of encapsulation, networking and routing services to optimize end-to-end cost in PI(3) design and implement logistics nodes(sorting/warehousing, etc) that are autonomous, modular and AI driven - supervised completely new design of autonomous moving robots(AMR) that are holonomic, modular and fast - managed software development of AMR localization system, planning system and control system - developed decentralized fleet management system based on swarm intelligence that optimizes operations in logistics nodes. The fleet features (1) highly modular (2) highly robust (3) optimal (4) scalable in fleet size

SF Express is China’s largest express company. Led a department of 30+ people consisting of machine learning engineers, data scientists, operations researchers and backend/frontend engineers. Reported to Corporation CIO and SF Technology CEO(1) demand modeling, customer elasticity modeling and cost modeling(2) data driven pricing for various SF services to drive user growth and revenue/profit optimization - designed new express services with tiered cutoff times, and constructed their pricing strategy - rolled out data driven pricing strategies across the county and grew sales by 10% - fixed price reversal issues across the entire network - collaborated with department of network planning and facility planning to design end-to-end cost reduction initiative, where pricing strategies serves as demand driver

Front Desk Quant, Wells Fargo Securities- Developed/improved interest rate structured note (spread option) pricing model utilizing SABR for desk trading- Developed/improved commodity option trading model and its risk management- Developed a quant library from scratch for benchmarking various models, more than 30000 lines of C++ code- Rotated in three different teams, each for three months. Developed and maintained Commodity and Credit pricing models

Game Theory, Optimal Control, Finance and Machine Learning.