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Zhijing Jin is an incoming Assistant Professor at the University of Toronto, specializing in causal inference methods for natural language processing. He has a distinguished background as a Research Scientist at the Max Planck Institute and holds the CIFAR AI Chair. Jin is also a faculty member of ELLIS and an advisor at the Schwartz Reisman Institute. His research primarily focuses on Large Language Models (LLMs) and Causal Inference, including vertical works such as Causal Reasoning LLMs and Multi-Agent LLMs. His contributions to AI Safety and AI Science have been recognized with multiple awards, including the ELLIS PhD Award and two Paper Awards at NeurIPS 2024 Workshops. He participates actively in the international academic community, serving on the ACL Ethics Committee and co-organizing various mentorship programs and workshops aimed at positive impacts of NLP. Jin's work has been reported on in prominent publications including CHIP Magazine and WIRED. He aims to extend the reach of his research to social good applications, promoting initiatives surrounding AI safety and the responsible deployment of technologies.
Department of Sociology