Silvia Novo

Silvia Novo is an Assistant Professor at the Department of Statistics of Universidad Carlos III de Madrid. She holds a PhD in Statistics and Operations Research from Universidade da Coruña (2021) and previously obtained a Mathematics degree and MSc in Statistical Techniques from Universidade de Santiago de Compostela. As an Associate Editor of Computational Statistics, her research focuses on methodological advancements in functional data analysis, semiparametric regression, regularization techniques, quantile regression, and computational statistics.

• Education:
  • Mathematics Degree, Universidade de Santiago de Compostela
  • MSc in Statistical Techniques, Universidade de Santiago de Compostela
  • PhD in Statistics and Operations Research, Universidade da Coruña (2021)

Her publications demonstrate expertise in statistical learning with functional data, including novel approaches for combining partial-linear/single-index models with k-NN estimation, sparse regression for mixed functional/high-dimensional predictors, and automated location-adaptive estimation techniques. Recent work applies these methods to real-world problems like Tecator data analysis, emphasizing computational efficiency and interpretability.

Editorial Role: Associate Editor at Computational Statistics.