Grace Wahba

Wahba is an American statistician who pioneered the theory of smoothing splines and reproducing kernel Hilbert space methods, and the representer theorem, giving rigorous foundations to modern nonparametric regression and machine learning; she also introduced generalized cross-validation. She received the 2025 International Prize in Statistics. She is listed among Jewish contributors to mathematics; accessible biographical sources give little detail on her background.