Marco Grzegorczyk

Marco Grzegorczyk is an Associate Professor of Computational Statistics at the University of Groningen, affiliated with the Department of Statistics and Probability within the Bernoulli Institute. His research focuses on Bayesian networks, computational statistics, and their applications in systems biology and gene regulatory network analysis. He holds editorial roles at journals like Computational Statistics and Statistica Neerlandica.

Education: PhD in Statistics (2006, TU Dortmund University), Habilitation (2012, TU Dortmund), and Diplom in Statistics (2003, Dortmund University).

Research Interests: Bayesian network development for systems biology, statistical inference of gene regulatory networks, and machine learning approaches for biological data analysis. His work bridges statistical methodology with applications in genetics, proteomics, and clinical studies.

Key contributions include advancements in non-homogeneous dynamic Bayesian networks and methodologies for handling incomplete data. His supervision of 10+ PhD students has led to impactful studies in clonal tracking and gene therapy safety analyses.

Awards: Basis Kwalificatie Onderwijs (2017), FIT Fellowship (2017), and recognition for teaching innovation at Groningen University.

He co-leads the Data Science & System Complexity group and actively participates in grants, including former DFG-funded research on Bayesian networks in systems biology.