Summary
Shuangjun Liu is a Senior Machine Learning Researcher Engineer in Boston with a decade of experience tackling visual perception under adversarial or data-scarce conditions, especially in human-centered domains like pose estimation and body synthesis. He blends academic rigor (PhD in Electrical and Electronics Engineering, 3.96 GPA) with industry impact at Qualcomm, Hyperfine, and Amazon, focusing on localization, tracking, action recognition, and MRI image simulation. His work spans domain knowledge integration, transfer learning, image translation, GAN- and 3D-engine-based human synthesis, and AR assistive cues for Parkinson’s—efforts that produced datasets and ECCV/ICCVW/TPAMI publications. He has a strong track record in medical-care-related vision problems where labeling is costly, including in-bed pose estimation and diffusion-weighted MRI simulation. Notably, he combines robotics/mechatronics roots and practical systems engineering (motor drivers, haptics) with advanced ML, enabling solutions that bridge simulation, data augmentation, and real-world deployment.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, 3.96, Doctor of Philosophy - PhD, Electrical and Electronics Engineering, 3.96 at Northeastern University
Bachelor of Science (BS), Mechanical Design, Manufacturing and Its Automation, Bachelor of Science (BS), Mechanical Design, Manufacturing and Its Automation at Dalian University of Technology
English, Chinese