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Ph.D.

• Majored in Industrial Engineering and Management Sciences
• Dissertation title "Multi-agent and Multi-objective Multi-armed Bandit"
• Advised by Professor Diego Klabjan

B.S.

• Majored in Statistics
• Summer research at Yale University in 2017

Machine Learning Engineer Intern

• Develop large language models (LLMs) for keywords extraction based on user queries in search AI team
• Prompt engineering and data mining
• Develop a workflow and pipeline to ultimately improve users' search experience

Algorithm Engineer

• Developed two-staged algorithms that achieve over 25% improvement on baselines for pricing of multiple ride options at Didi;
• Developed the very first algorithm with causal forest for model-based route-based pricing of Didi Discount Express and iterated multiple versions with superior performance
• Built data pipelines with Spark for processing billions of data and advancing feature engineering to support large-scale model training and distributional computations
• Built a model pipeline for online recommender systems with causal neural networks
• Did research on treatment effect estimation including proving the convergence of GCF for non-parametric DRF, giving multiple talks and finishing a paper accepted for oral presentation at KDD 2022

• Walter P. Murphy Graduate Fellowship

• Runner up, Guo Moruo Scholarship (the highest honor at USTC)

• National Scholarship (top 1%)

• National Scholarship (top 1%)

• Mobile Commerce Competition
• Frist Prize

• Scholarship of Minglong Huang (top 10%)

• National High School Mathematics Olympiad
• Second Prize