Jie Fu (付杰) is a happy and funny machine learning researcher (principal investigator), at Beijing Academy of Artificial Intelligence¹ (BAAI, 北京智源人工智能研究院), with his human-friendly big AI dream.

He worked as a postdoc with Yoshua Bengio at University of Montreal, Quebec AI Institute (Mila), funded by Microsoft Research Montreal. He was an IVADO postdoc fellow working with Chris Pal at Polytechnique Montreal, Quebec AI Institute (Mila). He obtained his PhD from National University of Singapore under the supervision of Tat-Seng Chua. He received ICLR 2021 Outstanding Paper Award.

He is currently working towards system-2 deep learning and its adaption to various real-world tasks, including AI for Science (drug discovery in particular) that can benefit all of society, and mixed-modality learning at scale . He is also broadly interested in general deep learning, reinforcement learning, and language processing. More concretely:

• Towards System-2 Deep Learning: Meta Learning, Modular Neural Architectures, Causal Representation Learning, etc
• Applications: AI for Social Good, Multi-Modal Drug Discovery, Molecular Dynamics, Multi-Modal Embodied Intelligence, Code Generation, etc