Zhijing Jin
Assistant Professor at the University of Toronto
Email: zjin@cs.toronto.edu Research: Google Scholar | CV
Social Media: š @ZhijingJin | š¦ ZhijingJin (Pronounced like āG-Gin Ginā)
I am an incoming Assistant Professor at the University of Toronto starting in Fall 2025, and currently a postdoc at the Max Planck Institute with Bernhard Schoelkopf, based in Europe. I will also be a CIFAR AI Chair, ELLIS advisor, and faculty member at the Vector Institute.
My research areas are Large Language Models (LLMs), Natural Language Processing (NLP), and Causal Inference. My two main lines of research areĀ Causal Reasoning with LLMsĀ (Corr2Cause,Ā CLadder,Ā CausalQuestĀ &Ā Survey), andĀ Multi-Agent LLM systemsĀ (GovSim, SanctSimĀ & my talk@OECD). My technical research contributes to AI for Science, and AI Safety.
I am the recipient of 3 Rising Star awards, 2 Best Paper Awards at NeurIPS 2024 Workshops, and several fellowships at Open Philanthropy and the Future of Life Institute. My work is reported in CHIP Magazine, WIRED, and MIT News. My research is funded by MPI, UofT, Schmidt Sciences, NSERC Discovery Grant, and Cooperative AI Foundation.
Our Jinesis AI Lab
We conduct frontier research on AI, large language models, and causal reasoning.
We constantly have openings for student researchers (at UofT, ETH, UMich, and many other affiliations), remote research mentorship for people in any career stage, and many other roles.
Check out the complete list of students and alumni on my CV.
*The Jinesis AI Lab is pronounced as āGenesisā, in memory of Prof. Patrick Winston.
Research Overview
My technical work focuses on causal inference methods for NLP, specifically to address robustness [1,2,3,4], interpretability [4,5], and causal/logical reasoning [6,7,8,9] of LLMs. See my Tutorial@NeurIPS 2024, Keynote@EMNLP 2023 BlackboxNLP Workshop, and Tutorial@EMNLP 2022.
I also extend the broader impact of Causal NLP to social good applications, with foundational work on the NLP for Social Good (NLP4SG) framework [10,11; MIT News], social policy analysis [12,13], gender bias [14,15], and healthcare [16,17,18]. See my Talk@EMNLP 2022 NLP for Positive Impact Workshop, and 5 related workshops Iāve co-organized.
For community service, I co-organize the ACL Year-Round Mentorship (a network of 650+ mentees and 90+ NLP mentors), and provide research guidance [19] and career suggestions.
āHarness the power of AI to make the world a better place.ā

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