Summary
Zhongyuan Wang is a Founding ML Scientist with nine years of professional experience and three focused years in machine learning, currently leading model development and graph learning research at RaptorX.ai. He blends academic training from UCL and King's College London with hands-on expertise in computer vision, crowd counting, object detection, and graph neural networks applied to real-world problems like autonomous driving data anonymization and fraud detection. Previously he built MLOps pipelines and optimized AI training job allocation at Group Lotus and explored travel-purpose prediction at DiDi using GNNs, showing a track record of moving research into production. Comfortable across research and engineering, he has worked on biosignal-based prosthetic control and emotion recognition during early internships, indicating a breadth that spans both applied ML and human-centric sensing. Based in Chongqing, he brings a practical research mindset to startup-scale innovation and platform reliability.
9 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Data science and Machine learning, Master of Science - MS, Data science and Machine learning at Univesity College London
Bachelor of Science - BS, Computer Science with Artificial Intellegence, Bachelor of Science - BS, Computer Science with Artificial Intellegence at King's College London