Yuyang Huo

About Me

I am an Assistant Professor in the Department of Statistics and Finance, School of Management, University of Science and Technology of China (USTC). My research lies at the intersection of statistics and machine learning, with a focus on predictive inference, multiple testing, and selective inference.

Before joining USTC, I received my B.S. and Ph.D. degrees in Statistics from Nankai University, where I was very fortunate to be advised by Prof. Changliang Zou. I also visited the Department of Industrial Systems Engineering and Management at the National University of Singapore, hosted by Prof. Nan Chen.

Email: houyynk@gmail.com or huoyuyang@ustc.edu.cn

Research Interests

Modern AI and machine learning models are increasingly powerful, but their predictions are often produced by complex black-box systems and can be uncertain or imperfect. My research is centered around predictive inference , which studies how to quantify the uncertainty of black-box predictions and use them reliably in downstream statistical decisions.

Selective inference after data-driven discovery.

Scientific and business analyses increasingly rely on data or AI models to select promising cases and form data-driven subgroups. This line of work develops post-selection methods for prediction intervals and conformal testing, aiming to provide reliable uncertainty quantification after such adaptive selection.

Multiple testing for predictive decisions.

Prediction scores are often used to support many decisions at once, such as selecting high-risk cases, promising candidates, or prioritized actions. This line of work studies false discovery rate control for predictive decision-making, with recent interests in diversity-aware selection, online testing with feedback, and data reuse.

If you are interested in these areas, feel free to contact me!