Matteo Bottai

Matteo Bottai is Professor of Biostatistics and Head of the Department of Biostatistics at Karolinska Institutet, where he also serves as Scientific Director of the Biostatistics Core Facility. He holds additional academic appointments as Visiting Professor in the Department of Mathematical Statistics at Stockholm University and Adjunct Professor in the Department of Biostatistics at the University of South Carolina.

• Education: Doctor of Science, Harvard University, USA

His research focuses on advanced biostatistical methods, particularly in quantile regression, modeling of bounded and censored outcomes, longitudinal data analysis, and methods for handling missing data in distributed networks. His work bridges theoretical statistics and practical applications in epidemiology, environmental medicine, and public health. He has contributed to methodological developments in Laplace regression, parametric quantile modeling, and optimal probability weighting.

His recent publications span a wide range of topics, including statistical methodology, cancer outcomes, respiratory health, cardiovascular disease, and mental health interventions. The articles reflect a strong emphasis on population-based cohort studies, clinical trials, and the use of complex statistical models to derive meaningful clinical and public health insights.

• Diagnostic guidelines for familial hemophagocytic lymphohistiocytosis
• Effect of internet-delivered cognitive behavioral therapy in pediatric OCD and Tourette syndrome
• Risk of thromboembolic events after cancer surgery
• Impact of air pollution on infant lung function
• Statistical methods for missing data and quantile regression

Matteo Bottai actively collaborates across disciplines, working with researchers in oncology, neurology, cardiology, psychiatry, and environmental health. His role as Scientific Director of the Biostatistics Core Facility underscores his leadership in supporting high-quality statistical analysis in biomedical research. He has been involved in numerous clinical trials and large-scale cohort studies, contributing statistical expertise to study design, analysis, and interpretation.

He leads the Biostatistics Unit at the Institute of Environmental Medicine, Karolinska Institutet, which provides statistical support and fosters methodological research in environmental and occupational health.