Curriculum Vitae
Education
Master of Science – Statistics and Data Science Sep 2024 – Present
Katholieke Universiteit Leuven, Leuven, Belgium
Doctor of Philosophy – Biomedical Sciences Sep 2019 – March 2025
Katholieke Universiteit Leuven, Leuven, Belgium
- Thesis title: Understanding Therapeutic Outcomes in Inflammatory Bowel Diseases: Insights from Clinicomics, Proteomics, and Transcriptomics.
- Pomotor: Prof.Dr. Severine Vermeire ; Co-promotor: Prof.Dr. Bram Verstockt
- Defense date: March 2025
Master of Science – Health Care Management and Policy Sep 2020 – Sep 2024
Katholieke Universiteit Leuven, Leuven, Belgium
- Major in “Health Care Management”
- Thesis promotor: Prof.Dr. Luk Bruyneel
Doctor of Medicine Sep 2008 – Nov 2015
Damascus University, Damascus, Syria
Work Experience/Postgraduate Training
PhD researcher Sep 2019 – Present
Main objectives:
- Evaluate the discriminative capacity, calibration, and clinical utility of existing clinical decision support tools for predicting response to biologics in patients with inflammatory bowel disease.
- Identify proteomic signatures able to predict endoscopic outcome to biologic therapy in Crohn’s disease.
- Gain insights into the mechanisms of action of current therapies for ulcerative colitis using whole blood transcriptomics, and identify transcriptomic signatures able to predict their endoscopic outcome.
Hospitalist Physician Sep 2018 – Aug 2019
Diabetes clinic - University Hospitals Brussels, Brussels, Belgium
Resident – Clinical Pathology Sep 2017 – Aug 2018
University Hospitals Brussels, Brussels, Belgium
Scholarly Contributions
Software
R packages: phdcocktail
1892 downloads on November 20, 2024
Computational Biology Skills
- Scripting: R, Python, and Unix for data manipulation, visualization, and predictive/bioinformatic analyses.
- Bioinformatic algorithms and packages: proteomics, bulk and single-cell transcriptomics, spatial transcriptomics, metagenomics, metabolomics and multi-omics integration.
- Quarto Publishing: articles, presentations, dashboards, and websites.
- Package Development: R, Python, and Bioconductor.
- Web Applications Development: using Shiny, with basic knowledge of HTML, CSS, and JavaScript.