Bo Ni
PhD Candidate in Computer Science
Vanderbilt University
About Me
I am a PhD candidate in Computer Science at Vanderbilt University, advised by Professor Tyler Derr in the Network and Data Science (NDS) Lab. My research focuses on trustworthy AI, LLM personalization, retrieval-augmented generation, and graph machine learning.
I received my bachelor’s degree with honors from the University of Notre Dame in 2021, where I worked with Professor Meng Jiang in the DM2 Lab on data mining and anomaly detection, and with Professor Dong Wang in the Social Sensing Lab.
Before my PhD, I was a software development engineer at Amazon Web Services. In 2025, I joined Adobe Research in San Jose as a research scientist intern, working on LLM reasoning and personalization.
News
- Our survey Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey is now published online in ACM Computing Surveys (CSUR)! Explore the companion resources.
- Personalized Auto-Research: Towards a True AI Co-Scientist appears at the ACM AI Leadership Summit 2026.
- SaVe-TAG: LLM-based Interpolation for Long-Tailed Text-Attributed Graphs is published at KDD 2026.
- I attended ACL 2026 in San Diego in July! Our paper Risk-Controlled Event-Driven Cascading Updates for Knowledge Graph Consistency Restoration is published in Findings of ACL 2026.
Selected Publications
See all publications or my Google Scholar profile for the full list.