Statistical machine learning

We apply statistical modelling and machine learning techniques to analyse data, such as:

  • Time-series forecasting, to predict the evolution of diseases like atopic dermatitis.
  • Bayesian modelling, to learn from small data, quantify uncertainty and develop flexible models that reflect data-generating mechanisms.
  • Clustering, to uncover complex patterns in biological data.
Can serum biomarkers predict the outcome of systemic immunosuppressive therapy in adult atopic dermatitis patients?
Impact of environmental factors in predicting daily severity scores of atopic dermatitis
Personalised prediction of daily eczema severity scores using a mechanistic machine learning model