Johan Henrik Koskinen

Johan Henrik Koskinen is a Senior Lecturer in Statistics at Stockholm University. He previously held academic positions at the Universities of Melbourne, Oxford, Manchester, and Linkoping.

• Teaching: Courses in Multivariate Methods and Generalized Linear Models (GLM).
• Advising: Supervises master’s and PhD students in applied statistics, including Jonathan Januar (funded by ARO Grant W911NF-21-1-0335 for research on missing data in covert networks).

Research Interests:
Specializes in Bayesian inference and statistical modeling for social networks, focusing on:

• Partially observed network data and missing data mechanisms
• Longitudinal and dynamic network analysis
• Exponential Random Graph Models (ERGM) and stochastic actor-oriented models
• Computational methods for complex network data

Grants:

• Co-investigator on ARO Grant W911NF-21-1-0335 for covert network analysis
• Named non-US partner on NSF Proposal No 2005661 for multidimensional networks in car purchases

Software Contributions:

• Development of RSiena (R package for longitudinal network analysis)
• Maintains MPNet (graphical interface for ERGM)