Søren Højsgaard

Søren Højsgaard is an Associate Professor in the Department of Mathematical Sciences at Aalborg University, Faculty of Engineering and Science. His work bridges statistical theory, computational methods, and pedagogical innovation, with a strong focus on graphical models, Bayesian networks, and computer algebra systems in R.

His research interests lie at the intersection of statistics, machine learning, and software development. He is particularly known for developing R packages such as caracas, gRbase, and sparta, which facilitate symbolic computation and efficient inference in probabilistic models. His work supports both advanced research and accessible teaching in data science.

The recent publications highlight a consistent trend toward integrating symbolic mathematics with statistical computing, improving scalability in Bayesian network predictions, and enhancing statistics education through tools like Quarto and R. His contributions span theoretical algorithms, software implementation, and educational applications.

• Active contributor to open-source statistical software
• Focus on model-based prediction and symbolic computation
• Emphasis on teaching innovation using computational tools

He has been involved in academic outreach through conference presentations and media engagement, discussing topics ranging from R programming to workplace safety modeling. His leadership role in the Department of Mathematical Sciences was recently highlighted in university communications.

Søren Højsgaard leads and contributes to projects that combine rigorous statistical methodology with practical implementation, supporting both research and education in modern data science.