Tian Bai

I recently graduated from McGill University with an Honours B.Sc. in Mathematics and Computer Science, and I will be pursuing a Ph.D. in Statistics at Stanford University starting Fall 2025. I am generally interested in statistics and statistical machine learning, and I am particularly piqued by areas such as:

• 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 and also collaborating with Dr. Ying Jin.

You can download my CV here.