Ziyi Huang

I am an assistant professor in the School of Biological and Health Systems Engineering at Arizona State University. I earned my doctoral degree in the Department of Electrical Engineering at Columbia University, advised by Professor Christine Hendon, and my bachelor’s degree in Information Science from the University of Science and Technology of China (USTC).
My research vision is to develop trustworthy AI systems and theoretical frameworks capable of delivering responsible predictions and decision makings through robust, reliable, and interactive data analysis. My Google Scholar is here. Particularly, I am interested in the following fields:

• Trustworthy AI for Reliable, Explainable, and Responsible Health.
• Agentic AI.
• Risk-Aware Decision-Making.
• Machine Learning Theory and Optimization.

My research has been acknowledged by selective doctoral fellowships/grants (over $283K awarded) and awards (e.g., Machine Learning and Systems Rising Star). I have participated in several grant preparations and served as Site-PI for NIH R21 and R01 submissions. I am excited to collaborate with interdisciplinary researchers in Machine Learning Theory, Natural Language Processing, and Data Mining to tackle challenges related to trustworthiness and promote transparency across broader AI applications.