معرفی
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.
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