Meng Jiang
Meng Jiang

Hi! I am an Associate Professor and Frank M. Freimann Collegiate Professor of Computer Science and Engineering at the University of Notre Dame. I'm appointed as a Lucy Family Institute Fellow as well as the Program Chair of ND-IBM Tech Ethics Lab. I am also an Amazon Scholar. My research fields are AI and Data Science. I'm interested in text and graph data for applications such as material discovery, recommender system, question answering, education, and mental health. My recent projects focus on knowledge-augmented NLP, instructed LLM, self-correct LLM, personalized LLM, unlearned LLM, graph data augmentation, and graph diffusion model.

I am directing the Data Mining towards Decision Making (DM2) Lab, supported by National Science Foundation (NSF), National Institutes of Health (NIH), and Office of Naval Research (ONR).

[HIRING #1] The DM2 Lab at Notre Dame CSE is recruiting two PhD students and one postdoc to begin in Summer/Fall 2026. The research focuses on Machine Unlearning, Physical AI Safety, and AI Ethics. To apply, please visit this link. Feel free to reach out to me (mjiang2 [at] nd.edu) if you are interested!

I am also directing the Foundation Models and Applications Lab (FAML) at Lucy Institute. By harnessing cutting-edge foundation models, AI systems can rapidly adapt to diverse tasks, from accelerating material discovery to transforming education and healthcare into a more engaging, personalized experience.

[HIRING #2] The FAML Lab at Lucy Family Institute will be looking for one postdoctoral research associate to begin in Summer/Fall 2026 and be co-advised by me and Prof. Xiangliang Zhang. The research topic is Foundation Models and Applications, emphasizing interdisciplinary collaborations. To apply, please visit this link. Drop me an e-mail (mjiang2 [at] nd.edu) if you are interested!

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Last updated on December 1, 2025.