Here you can read about the current members of the Young Statisticians board.
Maxine is a student of the Statistical Science master’s program (specialisation: Life and Behavioural Sciences) at Leiden University. Before, she studied Pedagogical Science at Erasmus University, both minor and internship focussed on subjects related to statistics. Since she has a social science background and research orientated interests, she enjoys teaching students about fundamentals of Psychometrics during SPSS computer sessions and writing a methodological paper about the psychometric characteristics of the Personality Inventory. Maxine is the secretary of the YS board.
Marije is a PhD candidate at the Leiden University Medical Center, working on the development of new statistical methods to derive omic-based biological age predictors. She completed a master’s in Statistical Science at Leiden University and a bachelor’s in Liberal Arts and Sciences at University College Roosevelt. Besides statistics, Marije can talk endlessly about politics and books. Marije serves as the chair of the 2021-2022 YS board.
Iris is a student of the master’s program Statistical Science at Leiden University. After doing a lot of statistics in her bachelor’s in Psychology she decided to further explore the field of statistics in the master’s program. She likes to dive into a topic in statistics by programming, writing reports and doing presentations. Besides the love for statistics, Iris loves to do sports such as field hockey, rowing and running. She also likes to be outside and to be surrounded by nature and animals!
Jonas first came into contact with statistics during his time as a Bachelors’s student in Sociology. His first course in which he used R was Introduction to Social Network Analysis. Ever since he has particularly enjoyed programming. Now he is finishing his Master’s degree in Statistics and Data Science at Leiden University, where he is also a teaching assistant for a course in Bayesian statistics. He recently started a position as an artificial intelligence intern at the biotechnology company Agendia in Amsterdam, where he is using Python and deep learning techniques to identify a set of biomarkers to aid in the diagnosis and understanding of breast cancer. In his spare time, he enjoys running and yoga.