Li began his professional career at Microsoft after earning a PhD in computer science from Columbia University.
Before his doctorate, he studied computer science in China, completing both undergraduate and master’s degrees at Zhejiang University.
This academic background positioned him to enter Microsoft’s research ecosystem, where he spent much of his professional career.
Following his PhD, Li joined Microsoft and spent more than 10 years at Microsoft Research, the company’s division dedicated to fundamental and applied computer science research.
During this time he worked across several areas of machine intelligence and AI-driven computing. His research interests have included:
These areas form core components of modern artificial intelligence systems and have applications ranging from computer vision to large-scale cloud AI platforms.
Li’s work has focused broadly on machine intelligence—systems that analyze complex data and extract meaning from multiple types of information.
His research has explored technologies such as multimodal analysis, which combines data types like images, video, and text, as well as knowledge extraction and pattern recognition techniques used in large-scale AI systems.
He has also studied how deep learning models can be deployed through cloud computing platforms to enable real-world AI applications.
Li’s appointment at Tongji University reflects a broader trend of experienced AI researchers moving between industry and academia. In this case, the transition brings a veteran of Microsoft’s AI research organization into a Chinese university environment focused on engineering applications of artificial intelligence.
Tongji University’s Institute of AI for Engineering aims to integrate AI technologies into fields such as infrastructure, manufacturing, and smart systems, areas where machine intelligence research can have direct industrial impact.
For Tongji University, the appointment adds a researcher with deep experience in both foundational AI research and large‑scale industry innovation.
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