Tian Bai

I am an undergraduate student at McGill University, majoring in Honours Mathematics and Computer Science, with an expected graduation date of December 2024. My research interests focus on the intersection of statistics and machine learning, particularly in areas that include:

• Enhancing reliability and trustworthiness of AI/ML Systems: I am interested in the development and application of methods for accessing and improving the reliability of black-box AI/ML systems (e.g. uncertainty quantification, statistical inference with AI systems), enabling confident deployments in risk-sensitive settings.

• Understanding foundational aspects of AI/ML Systems: I am fascinated by the inner workings of complex ML models, which are often opaque. My aim is to gain a deeper understanding of these systems or potentially enhance their transparency through structural modifications.

Currently, I am working on generalizations and applications of conformal inference under the supervision of Prof. Archer Y. Yang.

You can download my CV here.