Noémi Schuurman is postdoctoral researcher at the department of methodology and statistics for the social sciences at Utrecht University. Her main research interests are idiographic modeling, dynamic modeling, multilevel modeling, Bayesian modeling, networks, scientific integrity, and philosophy of (psychological) science.
In 2016 she received her PhD from Utrecht University. During her PhD project she focused on further studying and developing multilevel vector autoregressive models (multilevel VAR models), which are used to model within-person processes, as well as the differences across people in the processes. In this context she has worked on the optimal way to standardize the multilevel VAR models, on how to specify certain prior(s) for the Bayesian estimation of these models, and on how to account for measurement error in n=1 and multilevel VAR models. Further, she has performed simulation studies for the Interdisciplinary Centre of Psychopathology and Emotion Regulation at Groningen University.
Currently she is working on various projects in the context of the dynamic modeling of intensive longitudinal data. She is working on a VENI-proposal on using informative priors for Bayesian dynamic models. For more information on her research, or to download a copy of her dissertation you can visit her personal website.
Noémi teaches introductory statistics courses to bachelor and master students and is involved in teaching Bayesian statistics and programming in R in postgraduate education. Next to this she is a consultant in the methodology and statistics consultation shop. Noémi has been active as chair and representative for the FSS PhD council during her PhD project, and she is currently active in two education advisory committees.