I’m a biologist at heart with a passion for machine learning and statistical methodologies. After an education in both biology and statistics, I embarked upon my current journey as a PhD student in the field of bioinformatics at the Adrem Data Lab of the University of Antwerp and the biomina research network. Here I employ machine learning and data mining techniques to study molecular host-pathogen interactions and the immune system.

I strive to be a proficient data scientist and to apply my analytical and quantitative skill set in the context of biological and medical sciences.


  • Bioinformatics ∪ computational biology
  • Machine learning & artificial intelligence
  • Statistics
  • Systems biology
  • Immunoinformatics


  • PhD in Bioinformatics, ongoing (October 2020)


  • MSc Statistics - Bioinformatics, 2016


  • MSc in Biology, 2014

    KU Leuven

  • BSc in Biology, 2012

    KU Leuven


Some things I’ve worked on


MILES Subgraph Miner

A Java tool for mining subgraphs that are associated with a specific set of nodes in a network

Docker primer

A hands-on introductory tutorial to Docker

Computational skills primer

An overview of computational skills and tools required for suriving a PhD in bioinformatics

Biomolecular id remapper

A Python script for remapping biomolecular identifiers via the UniProt API.

Tutorial on git internals

A light-hearted presentation on the inner workings of the git version control system

TCRex (server back end)

A web tool for the prediction of TCR–epitope recognition

Gene Ontology scripts

A Python package and script for handling Gene Ontology data and performing enrichment tests


Systems biology


Machine learning and neural networks




Git version control

Docker containerization

High performance computing (VSC)

Linux web server administration


Scientific communication and outreach


Preprint Treating biomolecular interaction as an image classification problem – a case study on T-cell receptor-epitope recognition prediction.
. bioRxiv, 2019.


Journal Detection of enriched T cell epitope specificity in full T cell receptor sequence repertoires.
. Frontiers in Immunology, 2019.

Project DOI

Journal MILES: a Java tool to extract node-specific enriched subgraphs in biomolecular networks.
. Bioinformatics, 2019.

Code Project DOI

Journal No barrier breakdown between human and cattle schistosome species in the Senegal River Basin in the face of hybridisation.
. International Journal for Parasitology, 2019.


Journal Grasping frequent subgraph mining for bioinformatics applications.
. BioData Mining, 2018.


Journal The relationship between transmission time and clustering methods in Mycobacterium tuberculosis epidemiology.
. EBioMedicine, 2018.


Journal On the feasibility of mining CD8+ T cell receptor patterns underlying immunogenic peptide recognition.
. Immunogenetics, 2018.



  • pieter.moris@uantwerpen.be
  • Campus Middelheim Middelheimlaan 1
    2020 Antwerp
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