Ph.D. Student in Computer Science @ Dalhousie University
Explainable AI, AI for Science, visualization, and reliable agent memory.
- 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.
- 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.
- 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 - More identities: Connect page



