Zhijing Jin

Assistant Professor | CIFAR AI Chair | Faculty Member of Vector Institute @ Department of Computer Science, University of Toronto

About

Zhijing Jin (she/her) is an Assistant Professor at the University of Toronto and Research Scientist at the Max Planck Institute. She serves as a CIFAR AI Chair, an ELLIS advisor, a faculty member at the Vector Institute, and the Schwartz Reisman Institute, and a faculty affiliate of CHAI at UC Berkeley. 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 published over 100 papers and has received the ELLIS PhD Award, three Rising Star awards, and two Best Paper awards at NeurIPS 2024 Workshops.

Country

City

Germany

Industry

Research

Skill

Machine Learning, Natural Language Processing (NLP), Causal Inference, Artificial Intelligence (AI), Social Media Analysis

Experience

Assistant Professor | CIFAR AI Chair | Faculty Member of Vector Institute

Department of Computer Science, University of Toronto

2025-7 - Present · 1 yr 3 mos

Research Scientist

Max Planck Institute for Intelligent Systems

2024-12 - Present · 1 yr 10 mos

Ph.D. in Artificial Intelligence

Max Planck Institute for Intelligent Systems

2021-1 - 2024-12 · 4 yrs

Tübingen, Baden-Württemberg, Germany

- Research Focus: NLP, Causality, CSS, policy analysis, social good. - Research Description: Using natural language (NLP) techniques for causal reasoning (Causality) on computational social science (CSS), such as policy analysis for social good (guided by principles of Effective Altruism). - Advisors: Prof Bernhard Schoelkopf (Max Planck Institute & ETH), Prof Rada Mihalcea (University of Michigan), and Prof Mrinmaya Sachan (ETH) - Check out my papers at https://zhijing-jin.com

PHD

ETH Zürich

2021-1 - 2024-12 · 4 yrs

Zurich, Switzerland

I am a PhD student co-supervised at Max Planck Institute & ETH. Check out my profile and papers at https://zhijing-jin.com

PHD Student

Max Planck ETH Center for Learning Systems

2021-1 - 2024-12 · 4 yrs

Germany and Switzerland

AI Research Intern

Applied Scientist Intern

Amazon Web Services (AWS)

2019-7 - 2021-1 · 1 yr 7 mos

Shanghai, China

- Research on Natural Language Processing, e.g., text-to-knowledge graph and knowledge graph-to-text generation. - Advised by Prof Zheng Zhang, Dr David Wipf, Prof Xipeng Qiu, and Prof Weinan Zhang. - Published a series of papers (~6 papers): https://zhijing-jin.com/fantasy/blog/graph-text-paper-series/

Undergraduate Research Assistant

Massachusetts Institute of Technology

2018-2 - 2018-8 · 7 mos

- Published 4 papers on Natural Language Processing 1) A paper on text style transfer (EMNLP 2019) "IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation" 2) A paper on information extraction (NAACL 2019) "GraphIE: A Graph-Based Framework for Information Extraction" 3) Two papers applying NLP information extraction models for healthcare with Harvard Medical School (at JPSM 2020 and AAHPM 2020)

Undergraduate Research Assistant

MIT Media Lab

2017-9 - 2018-2 · 6 mos

- Conducted research on self-driving cars with the Camera Culture lab - Built a simulation environment in Unity and Python and published the preprint "3D Traffic Simulation for Autonomous Vehicles in Unity and Python"

Research Assistant

Shanghai Jiao Tong University

2017-7 - 2017-8 · 2 mos

Shanghai City, China

- Conducted research on Natural Language Processing, related to word2vec embeddings and XGBoost - Contributed to the AAAI 2018 paper "HAN: Hierarchical Association Network for Computing Semantic Relatedness"

Assistant to Country Manager & Marketing Assistant

VEGA

2017-1 - 2017-2 · 2 mos

Tokyo, Japan

- Assisted administrative tasks for the country manager - Built internal websites to facilitate team communications - Created monthly newsletters for the company - Programmed in Excel VBA to help analyze sales data