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Mathisca de Gunst is a professor emerita in the Department of Mathematics at Vrije Universiteit Amsterdam. She specializes in stochastic modeling and statistical analysis of biological processes, particularly the development and application of statistical models and tools. Her research focuses on mathematical models and techniques including (non)linear regression, Markov models, hidden Markov models, non-Markovian counting processes, and both frequentist and Bayesian estimation methods. De Gunst has a particular interest in statistical models of networks with a focus on neuroscience applications. Her current research projects involve statistical inverse problems and network dynamics, particularly in relation to brain network dynamics. Past research has covered modeling gene regulatory networks, the statistics of blood coagulation systems, neuronal network formation, and spatiotemporal activity patterns in neuronal networks. She has also contributed to the statistical analysis of ion channel kinetics and carcinogenesis modeling as well as plant cell population growth.
Administered under the Department of Clinical Psychology for Master's in Clinical and Developmental Psychopathology.