Ziyi Huang

I am a machine learning researcher at Bell Labs. I am also an Adjunct Faculty member in the Biomedical Engineering department at Stevens Institute of Technology (SIT). Prior to these roles, I earned my doctoral degree and completed my postdoctoral training in the Department of Electrical Engineering at Columbia University, advised by Professor Christine Hendon.
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, Robust, and Interactive Health.
• Machine Learning Theory and Optimization.
• Data-Driven Decision-Making.
• Learning from Data Imperfections.

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 looking for research collaborations. Please find my Biosketch and free to email me!