Zhijing Jin, University of Toronto

Research

Read how they describe their research on their University of Toronto profile.

Latest funding

Towards the LLM Causal Scientist for Scientific Causal Inference
CFI · 2026 · Principal investigator
$200,000

No publications available.

Towards the LLM Causal Scientist for Scientific Causal Inference

Principal investigatorCFI2026John R. Evans Leaders Fund: John R. Evans Leaders Fund – Funding for research infrastructure

Principal investigators: Jin, Zhijing

Keywords: Large language models, artificial intelligence, machine learning, natural language processing, causal inference, AI safety, multi-agent LLMs, responsible AI Compute nodes with GPUs and network switch

$200,000

From public funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998 with their latest competition results, the Canada Foundation for Innovation, Genome Canada, the Canadian Space Agency, Canada Research Chairs, the Fonds de recherche du Québec, Ontario research funding, Michael Smith Health Research BC, the Canadian Cancer Society, Heart & Stroke and Brain Canada.

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Applying for

Mention their CFI grant from 2026

Subject: Prospective PhD student Dear Professor Jin, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your CFI-funded project "Towards the LLM Causal Scientist for Scientific Causal Inference" (2026), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]