Said el Bouhaddani
Biostatistics | High dimensional data integration | Latent variable modelling | R programming
Post-doctoral researcher at UMC Utrecht
Dec. 2018 - now
I am developing and applying statistical and computational methods for probabilistic omics integration. Relevant techniques are multi-outcome multivariate GWAS, sparse omics data integration, global versus local association studies. This work is done within the E-rare MSAOmics project.
PhD student at Leiden UMC
Dec. 2014 - Dec. 2018
I am working on statistical analysis of several (high dimensional) omics datasets. An important aim here is to quantify relationships between variables in these omics datasets, and to translate these (together with experts) to biological findings. My research is about defining and refining data integration methods to understand the merits of these models, and to extend them to incorporate tricky characteristics of omics data. This work is done within the FP7 project MIMOmics.
MSc student at Delft University of Technology
Sept. 2012 - Dec. 2014
- Master of Science in Applied Mathematics
- Specialization: Statistics
- Minor: Financial mathematics
- Master thesis: Integration and exploration of high dimensional data (2014)