Boyang Gu

DPhil Student, University of Oxford  ·  Research Intern, MIT CSAIL

I am a DPhil student in the Department of Psychiatry at the University of Oxford. I am also continuing my research internship at the Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT).

Previously, I earned an MSc in Computing (Artificial Intelligence and Machine Learning) and an MSci in Mathematics from Imperial College London.

My research focuses on reliable and evidence-grounded AI for healthcare, including clinical natural language processing, causal inference from longitudinal electronic health records, and verifiable reasoning in medical language models. I am also interested in language models for reproducible scientific workflows. I welcome research collaborations.

Portrait of Boyang Gu

Research Interests

Clinical NLP Reliable Medical AI Causal Inference Scientific Workflows

News

Publications

Figure illustrating scaling laws for mixed quantization

Scaling Laws for Mixed Quantization

Zeyu Cao, Yao Lai, Boyang Gu, Cheng Zhang, Pedro Gimenes, Jianqiao Lu, Xitong Gao, Jianyi Cheng, Robert D. Mullins, Yiren Zhao

EMNLP 2026, Main Conference (Oral)

Overview of applications of large language models in medicine

Application of Large Language Models in Medicine

Fenglin Liu, Hongjian Zhou, Boyang Gu, Xinyu Zou, Jinfa Huang, Jinge Wu, Yiru Li, Sam S. Chen, Yining Hua, Peilin Zhou, Junling Liu, Chengfeng Mao, Chenyu You, Xian Wu, Yefeng Zheng, Lei Clifton, Zheng Li, Jiebo Luo, David A. Clifton

Nature Reviews Bioengineering, 2025