Jinkun Chen

Ph.D. Student in Computer Science @ Dalhousie University

Explainable AI, AI for Science, visualization, and reliable agent memory.

About

• Fully funded post-bachelor Ph.D. student in Computer Science at Dalhousie University, supervised by Dr. Vlado Keselj and co-supervised by Dr. Evangelos Milios.
• Research: Explainable AI, AI for Science, Visualization, LLM Reasoning, Agent Memory, Fairness.

Current Focus

• Measuring reasoning drift and context-order sensitivity from token-level signals.
• Designing reliable long-term memory and open-ended co-evolution for LM-based agents.
• Turning research prototypes into usable systems for evaluation, visualization, and applied AI.

GitHub Analytics

Recent Updates

• 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

Connect

• Website: jinkunchen.com
• Email: i@jinkunchen.com / jinkun.chen@dal.ca
• More identities: Connect page