Bresson Xavier

Xavier Bresson (PhD 2005, EPFL, Switzerland) is Associate Professor in Computer Science and member of the Data Science and AI Research Centre at NTU, Singapore. He is a leading researcher in the field of AI and graph deep learning, a new framework that combines graph theory and deep learning techniques to tackle complex data domains in neuroscience, genetics, social science, chemistry, physics, and natural language processing.

In 2016, he received the highly competitive Singaporean NRF Fellowship of $2.5M to develop these new deep learning techniques. He was also awarded several research grants in the U.S. and Hong Kong. As a leading researcher in the field, he has published more than 60 peer-reviewed papers in the leading journals and conference proceedings in machine learning, including articles in NeurIPS, ICML, ICLR, JMLR. He has organized several international workshops and tutorials on AI and deep learning in collaboration with Facebook, NYU and Imperial College such as the 2018 UCLA workshop (https://www.ipam.ucla.edu/programs/workshops/new-deep-learning-techniques), the 2017 CVPR tutorial (http://cvpr2017.thecvf.com/program/tutorials) and the 2017 NeurIPS tutorial (https://nips.cc/Conferences/2017/Schedule?showEvent=8735). He has been teaching undergraduate, graduate and industrial courses in AI and deep learning since 2014 at EPFL (Switzerland), NTU (Singapore) and UCLA (U.S., https://bit.ly/2FuDQAF).