Lukas Sablica

Lukas Sablica, Ph.D., is a researcher affiliated with the Department of Statistics and Mathematics at WU Vienna University of Economics and Business. His work focuses on statistical methodology, computational statistics, and software development for statistical analysis. He is particularly known for contributions to probabilistic modeling, distribution sampling techniques, and the development of R packages such as circlus, mistr, and watson, which support advanced statistical analyses including circular/spherical clustering, mixture distributions, and Watson distribution modeling.

Research interests include mathematical analysis of special functions, algorithmic approaches to distribution sampling, and applications of machine learning in environmental sensor data analysis. His interdisciplinary work bridges theoretical statistics with practical software solutions.

Key contributions include methods for efficient sampling from complex distributions (e.g., PKBD, Watson), bounds analysis for Kummer’s functions, and machine learning models for estimating resource usage (e.g., EcoShower project). Collaborations involve experts in environmental science, computer science, and applied mathematics.