Professor Martin Singull is a Professor of Mathematical Statistics and Head of the Division of Applied Mathematics at Linköping University. He earned his Ph.D. in 2009 and became a full professor in 2020. His research focuses on statistical inference for large, complex, and longitudinal datasets, including model-based classification, growth curve modeling, and covariance structure estimation. Singull has supervised numerous Ph.D. students and published extensively on advanced statistical methods and applications in health and engineering.
In his recent projects, Professor Singull integrates both spatial and temporal aspects of repeated measurements to develop machine learning techniques for regression and classification, with a particular focus on deriving misclassification probabilities.
