Scholar
Huixin Zhan
Google Scholar ID: ePwxgXsAAAAJ
Assistant Professor, Dept. of CSE, Affiliated with NMCCoE, New Mexico Tech
Citations & Impact
Citations
182
H-index
7
i10-index
3
Publications
20
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- Published papers in journals such as Nature Machine Intelligence; invited to serve as a PC member or reviewer for conferences including NeurIPS-2025, ICML-2025, AAAI-2026, and others; received the AAAI-23 Student Scholarship.
Research Experience
- Currently an Assistant Professor in the Department of Computer Science & Engineering at New Mexico Tech, leading the Zhan Lab. Previously a Postdoctoral Scientist in the Department of Computational Biomedicine at Cedars-Sinai Medical Center, advised by Prof. Jason Moore. Worked with Zijun Frank Zhang, who is now at Natera.
Education
- Ph.D. in Computer Science from the Department of Computer Science at Texas Tech University, advised by Prof. Victor Sheng; M.S. from the University of Texas at San Antonio; B.Eng. from Nanjing University of Science and Technology.
Background
- Research interests: machine learning, large language models, and graph neural networks, particularly their applications in text summarization, security, and privacy (both in text mining and genomics data). Current research focuses on variant effect prediction using large language models, combining machine learning with genomics and biomedicine to develop predictive tools for cardiomyopathy and arrhythmia. Additionally, explores the application of large language models to biomedical challenges, focusing on enhancing in-context learning and retrieval-augmented generation (RAG) for more effective knowledge graph-based reasoning.
Miscellany
- Personal interests not mentioned
