Email: zjin.admin@cs.toronto.edu      Research: Google Scholar | CV
𝕏: @ZhijingJin 🦋: ZhijingJin (Pronounced like “G-Gin Gin”)

I am an incoming Assistant Professor at the University of Toronto, and a Research Scientist at the Max Planck Institute with Bernhard Schoelkopf, based in Europe. I am the founder of EuroSafeAI, a CIFAR AI Chair, faculty member at the Vector Institute, an ELLIS advisor, and faculty affiliate at the Schwartz Reisman Institute.

My research areas are Large Language Models (LLMs), Causal Inference, and Responsible AI. Specifically, my vertical work focuses on Causal Reasoning with LLMs (Causal AI Scientist, CLadder, Corr2Cause, Quriosity, Survey), Multi-Agent LLMs (GovSim, SanctSim, MoralSim [Slides] [Blogpost]), and LLM Democracy Defense (website, slides, video, papers). To support the quality of my vertical work, my horizontal work brings in Mechanistic Interpretability (CompMechs, Mem vs Reasoning), and Adversarial Robustness (CRL Defense, TextFooler, AccidentalVulnerability, RouterAttack). My research contributes to AI Safety and AI for Science. Check out my lab’s presence at IASEAI and slides on Moral LLMs.

I am the recipient of the ELLIS PhD Award, 3 Rising Star awards, 2 Best Paper Awards at NeurIPS 2024 Workshops, and several PhD fellowships at Coefficient Giving and the Future of Life Institute. In the international academic community, I am a co-chair of the ACL Ethics Committee, co-organizer of the ACL Year-Round Mentorship, and a main supporter of the NLP for Positive Impact Workshop series. My work is reported in CHIP Magazine, WIRED, and MIT News.