I'm a Ph.D. student and Research Assistant at University of Wisconsin-Madison Computer Sciences department. I am fortunate to be advised by prof. Sharon Yixuan Li, and I have also worked with prof. Hyunwoo J. Kim as a Master's student in the Computer Science and Engineering department at Korea University.

My research goal is to make AI Agents reliable in real-world applications. Reliability in agentic AI systems can be examined from multiple perspectives, e.g., architectural design, quality of reasoning, autonomous decision-making, and inter-agent communication. At present, my primary focus is on the reliability of interactions within multi-agent systems, where coordination, debate, and collective reasoning play a central role. Beyond this, I have explored a broad range of domains—spanning computer vision, natural language processing, knowledge graph reasoning, reinforcement learning, efficient deep learning, and financial machine learning—aiming to bring diverse perspectives to the study of dependable AI agents.

Current Research Interests

• Reliable and Safe AI Agents

• Multi-Agent Systems

Contact  :  hyeongkyu.choi  [at]  wisc  [dot]  edu