Ph.D. Student in Computer Science @ Dalhousie University

Building trustworthy, interpretable, and practical AI systems.

• Ph.D. student in Computer Science at Dalhousie University.
• Research: LLM Reasoning, Explainable AI, Bias & Fairness, Visualization.
• Open to research collaborations and real-world AI applications.

• Measuring reasoning drift and order sensitivity in LLM outputs.
• Building robust evaluation workflows for fairness and reliability.
• Converting research ideas into practical, open-source tools.

• Context Order and Reasoning Drift: Measuring Order Sensitivity from Token Probabilities
• Measuring Reasoning Drift: A Token-Level Instability Signal
• When AI Reasoning Starts to Drift

• Website: jinkunchen.com
• Email: i@jinkunchen.com / jinkun.chen@dal.ca