معرفی
Jolanta Pielaszkiewicz is an Associate Professor at Linköping University, affiliated with the Department of Computer and Information Science (IDA) and the Division of Statistics and Machine Learning (STIMA). She holds the role of Director of Studies within her division. Her research focuses on multivariate analysis, statistical theory, and high-dimensional data, with notable contributions to covariance structures and research ethics. She is involved in teaching and supervising within the master's program in Statistics and Machine Learning.
Her work spans topics such as approximate normality in high-dimensional settings, likelihood ratio tests for mean vectors, and mixture models involving Wishart matrices. She collaborates with researchers like Christian Berggren, Daniel Klein, and Dietrich von Rosen. Her division emphasizes modern data analysis and interdisciplinary applications, reflecting her engagement with both theoretical and applied statistics.
While no formal awards are explicitly listed, her publications in journals like Journal of Multivariate Analysis and Communications in Statistics highlight her scholarly impact. Her research also touches on ethics in academia, addressing norms and practices in research environments.
