معرفی
Richard A.J. Post is a Research Fellow at the Department of Statistics, Mathematics and Computer Science School at Eindhoven University of Technology. His work bridges statistical methodology with biomedical applications, particularly in causal inference and survival analysis.
- PhD thesis: Statistical inference for induced seismicity in the Groningen gas field (2017)
- ICMS Core Member since 2022
- Active in cardiovascular risk prediction and causal effect modeling
Research interests focus on Bayesian survival analysis, causal inference, and statistical modeling applied to biomedical and epidemiological contexts. His work addresses methodological challenges in handling heterogeneity in causal effects and uncertainty quantification in personalized risk assessments.
Publication trends show expertise in:
- Bayesian computational methods (2024-2025)
- Statistical epidemiology (2024)
- Causal effect modeling (2024-2025)
- Cardiovascular disease analysis (2024)
- Seismicity statistics (2017)
- Public health policy evaluation (2021)
Scientific awards include:
- ICMS Fellowship (2022)
Collaborative activities span European research networks in pandemic response and cardiovascular epidemiology. Current work explores statistical methods for individualized treatment effect estimation and uncertainty quantification in health predictions.
