Meng Jiang
Meng Jiang

I'm an Associate Professor in the Department of Computer Science and Engineering at the University of Notre Dame. I'm appointed as a Lucy Family Institute Fellow. I am also an Amazon Scholar. My research fields are data mining, machine learning, and natural language processing. My data science research works on graph and text 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, LLM machine unlearning, graph neural networks, graph data augmentation, and graph diffusion model. [C.V.]

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

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

The DM2 Lab is recruiting two PhD students to begin in Spring or Fall 2026. Our research focuses on AI for Material Discovery, leveraging graph neural networks and multimodal LLMs. We work closely with experts in mechanical and chemical engineering on material property measurement and novel material synthesis. To apply, please visit this link. Feel free to reach out to me (mjiang2 [at] nd.edu) if you are interested!

The FAML Lab will be looking for one postdoctoral research associate to join in Spring or Fall 2026 and be co-advised by me and Prof. Xiangliang Zhang. The research topic is Foundation Models and Applications, emphasizing interdisciplinary collaborations. Stay tuned for the job post. Drop me an e-mail (mjiang2 [at] nd.edu) if you are interested!

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Last updated on May 20, 2025.