Dahham Alsoud
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  • Education
  • Work Experience/Postgraduate Training
  • Scholarly Contributions
  • Software
  • Computational Biology Skills

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

  • Publications
  • Peer Review activities

Software

  • Leuven update for Clinical Decision Support Tools to predict the therapeutic success of Vedolizumab in patients with Inflammatory Bowel Disease

  • 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.