My mission is to ease the working and learning processes for people via the cutting-edge research, e.g., artificial intelligence generated content (AIGC).

Currently I am a Software Engineer at Google Cloud Platform (GCP) working on Duet AI for Developer (Code Generation/Completion and Chat within IDE) as well as complementing Reinforcement Learning from Human Feedback (RLHF) for continually improving the performance of Large Language Models (LLM), and building customized service with Retrieval Augmented Generation (RAG) capability. Prior that, I worked at Voyager (DiDi's Autonomous Driving Department) on the Simulation team, where I built the whole automated Machine Learning system for detecting the "real" collisions in Simulation, and a lightweight simulator with deep-learning-based Smart-Agent, which is very convenient to use for efficiently diagnosing and updating deep learning models. 

I got my Ph.D. degree in Industrial Engineering specializing in Statistics from H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Tech, where I was very fortunate to work with Prof. C. F. Jeff Wu and Prof. Tuo Zhao. Before I joined Georgia Tech, I received my bachelor degree in Statistics from the School of Gifted Young (SCGY) at University of Science and Technology of China (USTC).  

My interests include adversarial machine learning, AIGC, Bayesian optimization, change point detection, deep learning, synthetic data, system designs, and trading.

In my free time, I like to learn some the "trends" and the technique behind them, solve puzzles, play some games, and explore some new activities.