Short Bio
Lin Zhao is an Assistant Professor in the Department of Biomedical Engineering, New Jersey Institute of Technology (NJIT), and the Director of the Machine Intelligence in Medicine and Imaging Lab (MI2 Lab). He was a Senior Research Scientist at United Imaging Intelligence (UII) America from 2023 to 2025. He received his PhD degree in Computer Science from the University of Georgia in 2023 under the supervision of Prof. Tianming Liu. He received his bachelor’s degree from Northwestern Polytechnical University in 2017. His current research interests include brain-inspired AI, large foundation models, vision-language modeling, and their applications in medical imaging. He has published over 50 papers 
Research Interests
- Brain-Inspired AI: Uncovering computational principles of biological intelligence to advance reasoning, learning, and generalization in AI.
- Medical Foundation Models and Agents: Advancing general-purpose medical intelligence through multimodal foundation models, world models, and AI agents.
- Computational Neuroscience: Integrating multimodal data and representation learning to uncover the principles of brain structure and function and elucidate mechanisms of neurobiological disease.
News [more…]
- 2026.09: Three papers are accepted by NeurIPS 2026.
- 2026.09: Welcome Bowen and Shaowen to MI2 Lab as PhD students!
- 2026.06: One paper on anatomical understanding is accepted by ECCV 2026.
- 2026.03: Received an NJ Commission on Brain Injury Research Grant from the New Jersey Department of Health (Co-PI).
- 2026.01: Invited to serve as an Area Chair for MICCAI 2026.
- 2026.01: One paper is accepted by ISBI 2026.
Recent Works [more…]
NeuronEye: Query-Guided Visual Concept Activation for Vision-Language Reasoning
Ruiyu Yan, Bowen Chen, Shaowen Wan, Lin Zhao
A World Model of Radiologist Reading for Medical Image Representation Learning
Yiwei Li, Zihao Wu, Huaqin Zhao, Yifan Zhou, Chao Cao, Dajiang Zhu, Tianming Liu, Lin Zhao
Shifting Adaptation from Weight Space to Memory Space: A Memory-Augmented Agent for Medical Image Segmentation
Bowen Chen, Qiaohui Gao, Shaowen Wan, Shanhui Sun, Wei Liu, Xiang Li, Tianming Liu, Lin Zhao
Neural Functional Alignment Space: Brain-Referenced Representation of Artificial Neural Networks
Ruiyu Yan, Hanqi Jiang, Yi Pan, Xiaobo Li, Tianming Liu, Xi Jiang, Lin Zhao
A Unified Geometric Space Bridging AI Models and the Human Brain
Silin Chen, Yuzhong Chen, Zifan Wang, Junhao Wang, Zifeng Jia, Keith M Kendrick, Tuo Zhang, Lin Zhao, Dezhong Yao, Tianming Liu, Xi Jiang
