Jie Fu (付杰) is a happy and funny research scientist at IQuest Research, chasing his sentient-friendly big AI¹ dream.

He was a postdoctoral fellow (funded by Microsoft Research Montreal) supervised by Yoshua Bengio at University of Montreal, Quebec AI Institute (Mila). He was an IVADO postdoctoral fellow supervised by 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 outstanding paper awards at NAACL 2024, ICLR 2021, and ACM Gordon Bell Prize (COVID-19 Track) 2022 Finalist.

His engineering/research portfolio is centered on scaling what works and exploring what’s missing (e.g., autoformalization, exact learning, CS-guided learning), to preserve and flourish humanity by providing abundant verification:

• Scaling: LLMs (NAACL 24’), deep reinforcement learning (ICML 24’), meta learning (ICLR 24’), reasoning (NeurIPS 25’).
• Exploring: safe RSI (arXiv 26’), autoformalization (TMLR 25’, ICLR 26’), neural-symbolic machines (ACL 25’), safe AI (ACM Computing Surveys 25’).