Avatar

Sebastiaan Vanuytven

PhD Student Computational Biology

KU Leuven

Francis Crick Institute

Biography

I’m a PhD student in the Laboratory of Reproductive Genomics (KU Leuven) & Cancer Genomics Laboratory (Francis Crick Institute). My research focuses on studying the role of tumoral cellular heterogeneity in therapy resistance and metastasis, using the recently developed single-cell multi-omics techniques.

In my downtime, I spend my days listening to podcasts , reading books, collecting useless facts and running 5Ks. I also act as the RSGB student representative for the KU Leuven .

Interests

  • Single-Cell (multi-)Omics
  • Oncobiology
  • Bayesian Statistics
  • Nuclear Architecture
  • Gene Therapy
  • HIV
  • Comics
  • (e)sports

Education

  • MSc Bioinformatics, 2017

    KU Leuven, magna cum laude

  • MSc Biomedical Sciences, 2015

    KU Leuven, magna cum laude

  • BSc Biomedical Sciences, 2013

    KU Leuven, cum laude

Experience

 
 
 
 
 

PhD student Computational Biology

KU Leuven

Jul 2017 – Present Belgium, Leuven
Integrating single-cell multi-omics data with spatial transcriptomics to study for the fist time the complete phenotype of a single cancer cell in its natural environment
 
 
 
 
 

Visiting Scientist

Francis Crick Institute

Jul 2017 – Present UK, London
 
 
 
 
 

Master thesis Bioinformatics

KU Leuven

Aug 2016 – Jul 2017 Belgium, Leuven
Using single-cell multi-omics to study cellular heterogeneity in breast cancer.
 
 
 
 
 

Master thesis Biomedical Sciences

KU Leuven

Aug 2014 – Jul 2015 Belgium, Leuven
Development of safer MLV-based gene therapy vectors: studying BET protein-chromatin occupation and generation of p12-fusions

Recent Posts

Finding “relevant” papers in today’s scientific world

Recently, I got the question by one of my colleagues to describe my routine of finding interesting papers. Although I’m already in the …

Recent & Upcoming Talks

Single-Cell Multi-Omics Sequencing to Understand the Nature, Extent and Biology of Cellular Heterogeneity in Six Special Breast Cancer Cases

Breast tumors consist of different subpopulations of cells with potentially distinctive properties such as treatment-resistance or …

Single-cell multi-omics to detect genetic variants in cancer and development

Short introduction and general review of single-cell multi-omics techniques developed by the research groups of Professor Voet

Single-cell multi-omics sequencing to understand the nature, extent and biology of cellular heterogeneity in breast cancer

Breast cancer tumors consist of different subpopulations of cells with potentially distinctive properties such as treatment-resistance …

Single-cell multi-omics sequencing to understand the nature, extent and biology of cellular heterogeneity in breast cancer

Breast cancer tumors consist of different subpopulations of cells with potentially distinctive properties such as treatment-resistance …

Single-cell multi-omics sequencing to understand the nature, extent and biology of cellular heterogeneity in breast cancer

Breast cancer tumors consist of different subpopulations of cells with potentially distinctive properties such as treatment-resistance …