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Emmeke Aarts is an Associate Professor and Director of Education in the Department of Methodology and Statistics at Utrecht University. Her research focuses on novel statistical methods for intensive longitudinal data, particularly in the context of personalized behavioral phenomena. With a strong background in both statistics and neuroscience, she has developed innovative methods like multilevel hidden Markov models to analyze complex datasets. Aarts has a PhD in Methodology and Statistics from Utrecht University, where she graduated cum laude. Prior to her current role, she worked as a junior researcher at the Max Planck Institute in Berlin and as a data scientist at TNO. Since 2022, she has been an Associate Professor at Utrecht University, leading projects that utilize real-time prediction algorithms for heart failure patients in collaboration with the University Medical Center Utrecht. Aarts is dedicated to advancing the scientific value of intensive longitudinal data, supporting other researchers, and supervising PhD students in her field.
Utrecht University • Utrecht
Leading research in statistical methods for intensive longitudinal data.
Utrecht University • Utrecht
Involved in undergraduate and postgraduate education and research.
TNO • Netherlands
Developed statistical methods and data analyses.
Max Planck Institute • Berlin, Germany
Conducted research on advanced data analysis techniques.
Department of Psychology