I’m a Ph.D. student in the Visual Analytics and Imaging Lab at Stony Brook University, advised by Professor Klaus Mueller. My research focuses on trustworthy AI, machine learning, causal inference, visual analytics, and large language models. I am particularly interested in leveraging causal reasoning and interactive visual analytics to make AI systems more interpretable, explainable, and trustworthy.
My current research explores causality for trustworthy AI, interpretability and explainability of large language models, and broader applications of visual analytics for understanding complex machine learning systems.
Previously, I received my Bachelor’s degree in Mathematics and Applied Mathematics from Southwest Jiaotong University.
If you’re interested in my research or potential collaborations, feel free to reach out at yanmzhang[at]cs[dot]stonybrook.edu.
Recent News
Aug 2026 Our paper, Fairness Beyond Populations: Subgroup-Specific Causal Diagnosis for Algorithmic Decision Auditing , has been accepted to EAAMO 2026!
Jul 2026 Honored to serve on the Program Committee for AAAI/ACM AIES 2026.
Jun 2026 Joined Netflix as an ML/AI intern, working on explainability for recommendation algorithms!
Apr 2026 Our work, CausalXRL: Explainable Reinforcement Learning through Causal Graph Reasoning, has been accepted as a Main Track Paper in ICML2026!
Earlier news
Nov 2025 Presented at the Epidemiology of Substance Use session and the poster session at the APHA 2025 Annual Meeting & Expo.
Aug 2025 Our work, CausalChat: Interactive Causal Model Development and Refinement Using Large Language Models, has been accepted as a Regular Paper in the upcoming issue of the IEEE Transactions on Visualization and Computer Graphics!
Jul 2025 Our work, XplainAct: Visualization for Personalized Intervention Insights, has been accepted as a Short Paper at IEEE VIS 2025.
May 2025 Honored to serve as a reviewer for the IEEE VIS 2025 full paper track.
Aug 2023 Our work on LLM-assisted causal model auditing has been accepted to the IEEE VIS 2023 NL-VIZ Workshop.
Aug 2022 Passed my Research Proficiency Exam, titled Visual Causality Experimenter.
