Summary
Xinchi Chen is an Assistant Professor at the Institute of Trustworthy Embodied AI, Fudan University, focusing on world models, embodied intelligence, and large language models. He brings nine years of experience spanning academia and industry, including roles at AWS as an Applied Scientist and Senior Applied Scientist working on machine learning, information retrieval, and NLP. His research past includes a Research Associate position at The University of Edinburgh and an internship at Microsoft Research Asia, building a solid NLP and deep learning foundation. He earned a PhD in Computer Science from Fudan University, strengthening his theoretical and practical AI expertise. Based in Shanghai, he actively translates cutting-edge AI research into scalable, trustworthy applications in cloud and embodied systems. He is uniquely positioned at the intersection of NLP, IR, and embodied intelligence, aiming to advance robust, ethics-aware AI that operates reliably in real-world settings.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Fudan University