معرفی
Malgorzata Bogdan is a Professor in the Department of Statistics at Lund University. She serves as a Project Manager and holds affiliations with research projects funded by the Swedish Research Council. Her work bridges statistical methodology with applications in astrophysics and genetics. Key research interests include high-dimensional data analysis, model selection, machine learning applications in astrophysics, and cosmological parameter estimation. She actively supervises doctoral students and leads interdisciplinary projects on topics like sparse regression algorithms and genetic discovery.
Her research outputs focus on statistical approaches to cosmological problems, such as analyzing Gamma-Ray Bursts (GRBs) and Supernovae Ia for distance measurement and cosmological parameter inference. Recent work includes developing machine learning models for GRB redshift classification and addressing the Hubble constant tension through statistical frameworks. Collaborative projects involve international teams utilizing ground telescopes and space observatories like the Swift Observatory.
- Education: Advanced degrees in statistical sciences (not explicitly detailed in text).
- Grants: Multiple Swedish Research Council grants for model selection, quantile regression, and genetic studies.
- Advising: Supervises students like I. Hejny (asof 2021) and J. Larsson (asof 2018-2024).
Her contributions span statistical theory and applied astronomy, with publications in journals like Astrophysical Journal and Journal of High Energy Astrophysics. Current projects include quantile regression models for genetic discovery and optimizing sparse regression algorithms.
