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Founder Bio
Zhijing Jin (she/her) is an incoming Assistant Professor in Computer Science at the University of Toronto, and currently a postdoctoral research scientist at Max Planck Institute in Germany. She is a faculty member at the Vector Institute, a CIFAR AI Chair, an ELLIS advisor, and faculty affiliate at the Schwartz Reisman Institute in Toronto. She co-chairs the ACL Ethics Committee, and the ACL Year-Round Mentorship. Her research focuses on Causal Reasoning with LLMs, and AI Safety in Multi-Agent LLMs. She has received three Rising Star awards, two Best Paper awards at NeurIPS 2024 Workshops, two PhD Fellowships, and a postdoc fellowship. She has authored over 80 papers, many of which appear at top AI conferences (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR, AAAI), and her work have been featured in CHIP Magazine, WIRED, and MIT News. She co-organizes many workshops (e.g., several NLP for Positive Impact Workshops at ACL and EMNLP, and Causal Representation Learning Workshop at NeurIPS 2024), and leads the Tutorial on Causality for LLMs at NeurIPS 2024, and Tutorial on CausalNLP at EMNLP 2022. See more info at zhijing-jin.com.
Recent Coverage
- (WIRED, 2025) “AI Social Media Users Are Not Always a Totally Dumb Idea”
- (AXRP Podcast, 2024) “Zhijing Jin on LLMs, Causality, and Multi-Agent Systems”
- (The AI Purity Podcast, 2024) “Zhijing Jin on Socially Responsible NLP: Education, Causal NLP, and AI Text”