Henry Han, Ph.D.

Education

• PhD, Applied Mathematical & Computational Sciences, University of Iowa (2004)
• MS, Computer Science, University of Iowa (2001)
• MS, Applied Mathematics, University of Iowa (2001)

Research Interests

• Data science
• Fintech
• Artificial Intelligence
• Bioinformatics and Health informatics
• Cybersecurity
• Quantum computing

Selected Publications

1. Han, H. (2026). Reproducible quantum clustering for single-cell transcriptome atlases https://arxiv.org/abs/2611.11745
2. Han, H.,  Niu, L. (2026). DBSCAN+K: Cost-aware marker detection for intraday trading. In Proceedings of the 7th ACM International Conference on AI in Finance (ICAIF '26). https://doi.org/10.1145/3858063.3858861
3. Han, H. (2026). Reproducibility of Mojo GPU kernels in financial AI. In Proceedings of the 7th ACM International Conference on AI in Finance (ICAIF '26). https://doi.org/10.1145/3858063.3858851
4. Han, H. (2026). Governing agentic AI in FinTech https://arxiv.org/abs/2608.11344
5. Han, H. (2026). Enhancing local and global structure in compressed AI agent memory. https://arxiv.org/abs/2611.08341
6. Han, H. (2026). Quantifying local and global fidelity of nonlinear embeddings. https://arxiv.org/pdf/2611.00290v2
7. Han, H., Liu, X., Wang, X., Han, F., & Li, X. (2026). The quantization trap: Breaking linear scaling laws in multi-hop reasoning. https://arxiv.org/abs/2602.13595