top of page

Dr Fan Mo

Research Associate at Sustainable Innovation Lab
Centre for Human Inspired Artificial Intelligence, University of Cambridge

PhD in Robotics, M.Sc. in Engineering, B.Sc. in Engineering

Fan is a research associate in data science at the Sustainable Innovation Lab of the Centre for Human-Inspired Artificial Intelligence at the University of Cambridge. He is Vice Chair of the Marie Curie Alumni Association China Chapter. His research interests include AI applications in sustainability and engineering, graph neural networks, multimodal models and fusion, and knowledge graphs. Currently, he contributes to the Environment Agency’s SEEBEYOND project, which aims to enhance environmental data transparency and traceability through advanced AI techniques, including graph learning, graph neural networks, and knowledge graphs.

3_edited.jpg

fm651@cam.ac.uk

Centre for Human Inspired Artificial Intelligence,

16 Mill Lane, Cambridge

CB2 1SB, UK

AI applications in sustainability and engineering

Graph neural networks

Knowledge graph

Multimodal Models and Fusion

Robotics

Reinforcement learning

bottom of page