Sergei V. Pereverzyev is Professor and Research supervisor in Research Group "Inverse Problems and Imaging" of the Johann Radon Institute for Computational and Applied Mathematics. He is a co-developer of the fully adaptive regularized learning (FARL) methodology for predicting blood glucose concentration and the prediction-error grid analysis (PRED-EGA) for the assessment of glucose predictors. He is also the author of over one hundred scholarly articles and serves as a member of editorial boards of 7 journals.