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Resume (English only)
Academic Achievements
Contributed to the SAM-Med3D project, which is an efficient general-purpose promptable segmentation model for 3D volumetric medical images. Also contributed to the STU-Net project, which is the largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations).
Research Experience
Currently working on AI Compiler and Agentic System. Previously worked on the SAM-Med3D project, which is an efficient general-purpose promptable segmentation model for 3D volumetric medical images.
Education
Shanghai Jiao Tong University
Background
Applied AI developer, ARPG player. Currently working on AI Compiler and Agentic System. Previously a Medical AI Researcher.
Miscellany
In free time, enjoys gaming, taking leisurely walks, and spending quality time with family.