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Nynke Niezink is an Associate Professor in the Department of Statistics and Data Science at Carnegie Mellon University. She is also an affiliated faculty member of the Heinz College of Information Systems and Public Policy and a core member of the Institute for Complex Social Dynamics. Niezink joined Carnegie Mellon in 2018 after completing her Ph.D. in Sociology at the University of Groningen in the Netherlands. Her educational background includes a B.Sc. in Mathematics, a B.Sc. in Pedagogical Sciences, an M.Sc. in Applied Mathematics, and a Research M.Sc. in Behavioral Social Sciences with a specialization in Psychometrics. Niezink's research has received support from significant grants including the NWO Research Talent Grant, the NSF SBE Award, the Russell Sage Foundation Small Grant, and various NIH grants. Her methodological research interests focus on statistical inference with social network data, involving longitudinal modeling, multiplex networks, relational event models, and three-way networks. Additionally, her applied research interests span education, health sciences, organizational behavior, sociology, and criminology.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.