SFOepi day 2025
Each year, SFOepi hosts a conference focusing on a different theme within the fields of epidemiology and biostatistics.
This year's theme is precision medicine and the work of SFOepi awardees. Date: Thursday September 25.
Location
Lecture hall Jacob Berzelius, Berzelius väg 3, Solna Campus
Registration
The registration is now closed.
Program
Title: Precision medicine in Public Health
Title: Precision medicine in Cardiometabolic diseases
Title: Precision medicine in Inflammatory Bowel Disease
Title: Precision medicine in Obstetrics
Don’t forget to vote for your favourite poster!
Title: Obesity as a heterogenous phenotype – moving beyond BMI
Title: Neurodegenerative disease among contact sport athletes - heading for clarity
Title: Harnessing Statistical Thinking in Public Health
Title: Towards precision medicine in women's mental health
Speakers: Giulia Dallagiacoma, Yuxia Wei, Jing Wu, Shayan Mostafaei
About our speakers
Megan Roberts
Megan Roberts is an Assistant Professor at the University of North Carolina at Chapel Hill, where she leads research in implementation science. Her work explores the adoption and impact of precision medicine approaches in healthcare, with a focus on cancer prevention, genetic testing, and health equity.
Paul Franks
Paul Franks is Professor of Genetic Epidemiology at Lund University. His research focuses on the genetic and environmental determinants of type 2 diabetes and obesity, with an emphasis on precision medicine and translational prevention strategies.
Jonas Halfvarsson
Jonas Halfvarsson is Professor of Gastroenterology at Örebro University. His research centers on the epidemiology, genetics, and molecular mechanisms of inflammatory bowel disease (IBD), aiming to improve diagnosis, treatment, and patient outcomes.
Olof Stephansson
Olof Stephansson is Professor of Clinical Epidemiology at Karolinska Institutet and a senior consultant in obstetrics. His research addresses maternal and perinatal health, with particular focus on pregnancy complications, obstetric outcomes, and the use of large-scale population registers.
Ida Karlsson
Ida Karlsson is an Associate Professor at the Department of Medical Epidemiology and Biostatistics, Karolinska Institutet. Her research focuses on life course epidemiology, aging, and genetic and environmental influences on health using twin and population-based cohorts.
Peter Ueda
Peter Ueda is an Associate Professor at the Department of Clinical Epidemiology, Karolinska Institutet and resident physician at the Center for Diabetes, Stockholm Region. His research addresses cardiovascular disease, diabetes, and drug safety using large-scale register-based data.
Nicola Orsini
Nicola Orsini is an Associate Professor of Biostatistics at the Department of Global Public Health, Karolinska Institutet. He specializes in epidemiological methods, including dose-response analysis and causal inference, with applications in nutrition, lifestyle, and chronic disease research.
Donghao Lu
Donghao Lu is an Assistant Professor at the Institute of Environmental Medicine, Karolinska Institutet. His work focuses on how psychological, social, and biological factors shape women’s mental health across the life course, using large-scale register data and longitudinal methods.
Short oral presentations
Giulia Dallagiacoma
PhD student at the Department of Medical Epidemiology and biostatistics.
Title: Risk factors for severe respiratory syncytial virus infection: a Swedish nationwide cohort study
Yuxia Wei
Postdoctoral researcher at Institute of Environmental Medicine
Title: Comparative Cardiovascular Effectiveness of GLP-1 RAs vs. Insulin in Early-Onset Type 2 Diabetes
Jing Wu
Postdoctoral researcher at Institute of Environmental Medicine
Title: Long-Term Exposure to Air Pollution in Relation to the Risk and Prognosis of Motor Neuron Disease: Results from the Swedish Motor Neuron Disease Quality Registry
Shayan Mostafaei
Bioinformatician at the Department of Medical Epidemiology and biostatistics.
Title: Precision Risk Prediction of Alzheimer’s Disease and Related Dementias Using Integrated Multi-Omics Aging Clocks and Genetic Data