Zsuzsa Bakk


Key characteristics: education, innovation, analytical skills, flexibility, project management, networking skills. 


2023- Current Owner, consultant, ZB consulting Data driven consulting in survey research, scientific reporting, statistical analysis and data science profiling of needs and resources for companies. 

2020 – Current  Assistant professor of Methodology and Statistics. Psychology Institute, Leiden University Developes, coordinates and teaches courses for bachelor (large courses for 500 students) and master level (small courses for 15-30 specialization students) in statistics. Development of own research line in clustering and classification. 

Young Academy Leiden member: policy projects about early acreer academics, interdisciplinary research 

2020- current Associate Editor Behavior Research Methods  Select and assign submitted manuscripts for review, publication decision for a broad area of manuscripts in statistics, latent variable modeling

2018 – 2020 Policy Analyst, Organization for Economic Cooperation and Development (OECD), Paris, France Responsible for  EdTech developments, manage digital transition of the project, providing educational policy advice to partner countries, methodological developments of international comparative tests (PISA, TALIS) building of new partnerships for both extending into new countries and innovation for the PISA project family. 


2015 - 2018 Assistant professor of Methodology and Statistics. Psychology Institute, Leiden University, Leiden, The Netherlands (see description of main activities above)

2015  HR Analytics Analyst, Royal Dutch Shell, The Hague, The Netherlands Data driven change management of HR evaluation processes.

Define and deliver projects that lead to data driven decisions in HR.


2011 - 2015 Ph.D Researcher, Statistics, Tilburg University, The Netherlands

All articles of my thesis published in high impact factor journals. Research cooperation to extend outside of my field: visited prof N.J. Le Roux in Stellenbosch South Africa for 3 month, that resulted in a joint publication combining our fields. Cooperation with applied researchers and colleagues, presentations in high impact conferences in my field.

2009 – 2010 Research Associate, Delft University of Technology, Delft, The Netherlands

Consulting project on developing a policy for equal opportunities for women in science. 

2005-2009 Project manager, Trainer, Dorcas Aid Romania, Cluj,  Romania

Project management, training, and training of trainers, capacity building, HR and organizational development consulting. Developed and delivered trainings about organizational development, project management, M&E in Romania, Mozambique and Malawi to partner NGOs.




2011 – 2015   PhD candidate, Statistics and Methodology, Tilburg University, the Netherlands

Dissertation title: “Contributions to bias adjusted stepwise latent class modeling”, project supported by the Netherlands Scientific Organization (NWO). Supervisors: Prof.Dr. J.K. Vermunt, Dr. D.L. Oberski.

2009 – 2011 Research Master Social Sciences (track Methodology and Statistics), Tilburg University, Tilburg, the Netherlands

2005 – 2006  MA in Human Resource Management, Babes-Bolyai University, Cluj, Romania

2000 – 2004 BA in Sociology, Babes-Bolyai University, Cluj, Romania



Ø  Distinguished Dissertation Award, North American Classification Society, 2016

Ø  Oldendorff scholarship, Tilburg University 2009 -2011

Ø  Excellence scholarship of the Hungarian government to outstanding students studying abroad(2001-2003)



Own research line:  Bakk Z,  Kuha J, “Relating latent class membership to external variables: An overview” British Journal of Mathematical and Statistical Psychology

Bakk Z., Kuha J. (2018) “Two-step estimation of models between latent classes  and external variables”,  Psychometrika 83 (4), 871-892

Bakk Z., Vermunt J.K. (2016) “Robustness of stepwise latent class modeling with continuous distal outcomes.” Structural Equation Modeling: A Multidisciplinary Journal 23 (1), 20-31


Running, hiking, reading, biking.