Nalan Bastürk

Nalan Bastürk is an Associate Professor at Maastricht University within the School of Business and Economics, Department of QE Econometrics. Prior to this, she held roles as Assistant Professor at Maastricht University (2014-2019) and Erasmus University Rotterdam (2010-2014). Her research focuses on Bayesian inference, time series analysis, and mixture models, with applications in econometrics, healthcare, and financial modeling.

Her key research project, funded by NWO, explores patient heterogeneity and time-variation in the course of depression. She contributes to methodological advancements in statistical modeling, including neural networks for density estimation and Bayesian causal analysis.

Recent publications span diverse topics such as text analysis of tax news, portfolio optimization with genetic algorithms, and clinical phenotyping in schizophrenia. Her work bridges theoretical statistics and real-world applications, emphasizing interdisciplinary collaboration.

Notably, she co-developed the R package BayesMultiMode for Bayesian mode inference. While no scientific awards are explicitly listed, her contributions to econometrics and computational methods reflect significant scholarly impact.

Her advising and grant activities include the NWO-funded Vividi195187 project. No specific lab or team affiliations are mentioned, but her research often involves collaborations across disciplines within the School of Business and Economics.