Present
Member of Technical Staff · CAMEL-AI / Eigent-AI
Post-training, agentic AI, agent environments, agent infrastructure, and systems for capable LLM agents.
Qijia Shen · Research profile
Qijia
Shen
Member of Technical Staff · Agentic AI & Post-training
I work at CAMEL-AI and Eigent-AI on post-training, agent environments, agent infrastructure, and capable LLM agents. My earlier research spans geometry-aware 3D generation, medical imaging, and neuroscience.
Current focus
Agentic RL
Agent Environments
Agent Infrastructure
LLM Post-training
01 / Selected work
Selected research
04 / Background
Experience & education
2020–2021
Visiting Researcher · Harvard SEAS
Large-scale 3D connectomics and mitochondria instance segmentation.
2021–2025
DPhil in Neurosciences · University of Oxford
Advanced medical image reconstruction, motion correction, and dynamic angiography.
2017–2021
B.E. Biomedical Engineering · Shanghai Jiao Tong University
Medical image analysis, computational pathology, and clinical computer vision.