My research spans mathematical statistics, discrete geometry, and probabilistic weather forecasting, exploring the connections between these areas. A central theme of my work is understanding dependence through a geometric lens and using these insights to develop new modeling approaches, particularly for discrete and mixed data and multivariate forecasting.
My peer-reviewed publications are listed on my university profile, while a complete list including preprints is available on Google Scholar. My research has led to regular invitations to present at international conferences, workshops, and research seminars across statistics, mathematics, and meteorology.
I am always looking for motivated students who share my research interests and my passion for mathematics and statistics. If you are interested in doing a research project under my supervision, you can have a look here for a list of project topics.
Erwin Schrödinger Fellowship - Austrian Science Fund (FWF), 2017–2019
Project: Geometry of Discrete Copulas for Weather Forecasting
Role: Principal Investigator | Funding: EUR 160,960
YES XIII: Dependence Modeling - 2025
Role: Co-organizer; responsible for securing funding
Funding secured: EUR 18,500 (4TU.AMI: EUR 5,000; NWO WBO: EUR 4,000; STAR: EUR 4,500; Eurandom: EUR 5,000)