Yan Sun

Yan Sun is a statistician interested in developing trustworthy machine learning (ML) models. His research focuses on uncertainty quantification and model reliability. He develops rigorous methods to evaluate and improve model calibration, enhancing the accuracy of probabilistic forecasts. His work in sparse neural network models identifies key predictive features, making ML models more interpretable and efficient.