Eric Slob

Eric Slob is an Assistant Professor at the Erasmus School of Social and Behavioural Sciences, Department of Methods & Skills, specializing in statistical and computational methods for large genetic datasets. His research bridges social science and medicine through Mendelian randomization, focusing on causal relationships in health outcomes.

• Research interests revolve around genetic epidemiology, precision medicine, and cross-disciplinary causal inference.

Recent publications highlight his work on:

• Mendelian randomization studies linking maternal hyperglycaemia to neonatal outcomes (2024)
• Proteomic and transcriptomic pathways in preeclampsia (2024)
• PCSK9-targeted therapies and mood disorders (2024)
• LDL cholesterol interventions and congenital malformations (2024)
• Birth weight impacts on cardiovascular structure (2024)

He contributes to open-access datasets and has been featured in public engagement about genetic methods. Funded by the SSH-Breed program, his work addresses causal mechanisms in medical and social research.