Xitan Hotel, Beijing
On my 27th birthday
I lead the Midtraining team at 
MiniMax, working on scaling agentic data and beyond, with a focus on data quality and training efficiency.
I study data scaling: how to use data effectively at scale, and how to turn better data into stronger model capabilities with efficient use of compute. Most of my work focuses on the pretraining and midtraining stages of foundation models, with three closely connected directions:
- Data selection and mixture: Making the most of data quality, diversity, and relevance to improve training efficiency.
- Data distillation and synthesis: Compressing useful information and generating new training data to expand what models can learn.
- Data evaluation: Building efficient, faithful evaluations that reflect real-world model capabilities and guide data decisions.
Previously, I worked on midtraining for Kimi K3 at 
Moonshot AI, and on pretraining and midtraining for Qwen3–3.7 with the 
Qwen Team. Meanwhile, I am a Ph.D. student at Shanghai Jiao Tong University, where I am fortunate to be supervised by Prof. Linfeng Zhang.
Opportunities at MiniMax. If you are interested in positions at MiniMax, especially in data scaling and midtraining, feel free to contact me at gszfwsb@gmail.com. I am happy to recruit people who believe in scaling laws and the power of data, and are committed to rigorous, hands-on data work, regardless of their background.