I’m a second year PhD student @Georgia Tech, co-advised by Bo Dai and Chao Zhang.

Currently I’m a Student Researcher @Google DeepMind, Mountain View.

Before this, I graduated with a Bachelor’s degree from Tsinghua University.

I’m working on Agentic Environments, Post-Training, and Harness, with a focus on Machine Learning Engineering Agents in a broad sense.

Feel free to contact me for Collaboration & Opportunities.

📝 Publications and Preprints

MLE-Smith: Scaling MLE Tasks with Automated Multi-Agent Pipeline,
Rushi Qiang, Yuchen Zhuang, Anikait Singh, Percy Liang, Chao Zhang, Sherry Yang, Bo Dai.
ICLR 2026.
MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering,
Rushi Qiang^*, Yuchen Zhuang^*, Yinghao Li, Dingu Sagar V K, Rongzhi Zhang, Changhao Li,
Ian Shu-Hei Wong, Sherry Yang, Percy Liang, Chao Zhang, Bo Dai.
NeurIPS 2025 Benchmark and Dataset.
Towards Better Instruction Following Retrieval Models,
Yuchen Zhuang^*, Aaron Trinh^*, Rushi Qiang^*, Haotian Sun,
Chao Zhang, Hanjun Dai, Bo Dai. Preprint.
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning,
Ruiyi Zhang^*, Rushi Qiang^*, Sai Ashish Somayajula, Pengtao Xie.
NAACL 2024.
HYDRA: Model Factorization Framework for Black-Box LLM Personalization,
Yuchen Zhuang, Haotian Sun, Yue Yu, Rushi Qiang, Qifan Wang, Chao Zhang, Bo Dai.
NeurIPS 2024.
Matryoshka: Learning to Drive Black-Box LLMs with LLMs,
Changhao Li^*, Yuchen Zhuang^*, Rushi Qiang, Haotian Sun,
Hanjun Dai, Chao Zhang, Bo Dai.
NeurIPS 2025.
Language Model Uncertainty Quantification with Attention Chain,
Yinghao Li, Rushi Qiang, Lama Moukheiber, Chao Zhang.
COLM 2025.

🏭 Industrial Internship

2024.08 – present, PhD student in Machine Learning, Georgia Institute of Technology.
2020.09 – 2024.06, B.Eng. in Automation, Tsinghua University.