Junzhang Liu is an MS computer science student at Columbia University and a research assistant at the DVMM Lab, specializing in AI-driven computer vision and machine learning. With eight years of technical experience and a research stint at the China Germany Artificial Intelligence Institute, he has worked on SIFT/SLAM improvements, human pose estimation, and group-equivariant and spherical CNN experiments using PyTorch and lie_learn. He combines rigorous programming and mathematical foundations with hands-on model training and deployment for real-world tasks like people counting for smart HVAC. As a digital artist who creates 3D models and illustrations in Blender and Photoshop, he brings an uncommon aesthetic sensibility to algorithm design and data representation. Junzhang’s goal is to bridge artistic intuition and AI, ultimately teaching models to understand aesthetics as humans do. Based in New York, he is actively translating research prototypes into practical vision systems.
8 years of coding experience
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Columbia University in the City of New York
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Syracuse University
Contributions:8 pushes, 1 branch in 1 year 7 months
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Junzhang Liu - Research Assistant at Columbia University