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.

Interests

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

Education

  • PhD in Bioinformatics, ongoing (October 2020)

    UAntwerpen

  • MSc Statistics - Bioinformatics, 2016

    UHasselt

  • MSc in Biology, 2014

    KU Leuven

  • BSc in Biology, 2012

    KU Leuven

Projects

Some things I’ve worked on

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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

Skills

Systems biology

Statistics

Machine learning and neural networks

Python

R

Bash

Git version control

Docker containerization

High performance computing (VSC)

Linux web server administration

LaTeX

Scientific communication and outreach

Publications

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

DOI

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.

DOI

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

DOI

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

DOI

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

DOI

Contact

  • pieter.moris@uantwerpen.be
  • Campus Middelheim Middelheimlaan 1
    2020 Antwerp
    Belgium
  • Linkedin
  • Twitter
  • PGP fingerprint: 3DA4 8C04 4736 4796 0490 D6D5 BD3B 7810 4AE1 D801 ()