Summary
Meng Jiang is an Associate Professor in Computer Science and Engineering at the University of Notre Dame with 11 years of experience specializing in data mining, machine learning, and natural language processing. His research spans behavior modeling, information extraction, and anomaly detection, with roots in PhD work at Tsinghua on social media behavior and fraud detection. He has held postdoctoral and visiting roles at UIUC and Carnegie Mellon and earned recognition during a Microsoft Research Asia internship for cross-platform behavior modeling. Meng combines rigorous academic scholarship with practical problem solving, translating large-graph and user-behavior insights into deployable models for recommender systems and abuse detection. Based in Notre Dame, Indiana, he is known for bridging theoretical methods and real-world applications across data science and NLP. An often-overlooked strength is his track record mentoring interdisciplinary collaborations that turn complex behavioral signals into actionable systems.
11 years of coding experience
17 years of employment as a software developer
Xinhai High School
BS, Computer Science and Technology, BS, Computer Science and Technology at Tsinghua University
English, Chinese