Summary
Jin Tao is a Senior AI Scientist based in Helsinki with over a decade of applied ML and intelligent control experience, currently building production-grade AI solutions for autonomous vehicles, Industry 4.0 and smart cities at Silo AI. He combines deep academic credentials—a PhD and postdoctoral fellowships at Aalto and Peking University—with hands-on engineering from earlier data-engineering roles at SANY, enabling a rare blend of theory-driven research and pragmatic system delivery. His research portfolio spans dynamic systems, acoustic manipulation, and deep reinforcement learning, with 50+ peer-reviewed publications and competitive funding from the Academy of Finland and China’s national agencies. Jin’s work emphasizes trustworthy, human-centric AI and he’s experienced in taking algorithms from lab prototypes to deployed Silo OS workflows. A detail not obvious from job titles: he has led both academic projects and industrial ETL/optimization systems, giving him fluency across research, data engineering and productization.
8 years of coding experience
5 years of employment as a software developer
Master of Engineering (MEng), Control Theory and Control Engineering, Top1, Master of Engineering (MEng), Control Theory and Control Engineering, Top1 at Guangxi University of Technology
Master's degree, Control Theory and Control Engineering, Master's degree, Control Theory and Control Engineering at Peking University
Doctor of Philosophy (PhD), Control Science and Engineering, Artificial Intelligence, Doctor of Philosophy (PhD), Control Science and Engineering, Artificial Intelligence at Nankai Univeristy
Bachelor's degree, Automation, Bachelor's degree, Automation at Qingdao University of Science and Technology