Dominik Glodzik | Postdoctoral Fellow

Glodzik, Dominik

I study the processes that cause mutations in DNA of normal and cancerous cells. Most fascinating questions are why cancer cells aquire excess of mutations, and how these processes are specific to tissue types. This knowledge will allow us to interpret cancer genomes of individual patients. I bring skills in data science, visualisation and machine learning.

Mutatiations in DNA of cancerous and normal cells are uncovered by next-generation sequencing. I apply data science algorithms and statistical programming to extract the knowledge about causes of the mutations.

I am involved in several projects, all of which involve computational analysis of cancer genomes

  • In SUPPRESSTEM project, I identify the mutations driving colorectal tumours. We will then use this information to predict which patients are likely to respond to a novel therapy.
  • Sequencing whole cancer genomes uncovers the whole new landscape of structural variation. I am studying chromosomal rearrangements, which are another evidence of the mutational processes that operated on the way to breast cancer. Link to BASIS project.
  • In the INSIGNIA project we experimentally try to re-create the patterns of mutations observed in patients' tumours. I will relate the genomes of the patient tumours to the patterns of experimentally induced mutations.

In my work I enjoy the opportunity to answer one of the fundamental questions about cancer. I am keen to see how data science and machine learning will help us interpret the patients' tumour. I enjoy public speeking, and explaining our science to the public.


  • HRDetect is a predictor of BRCA1 and BRCA2 deficiency based on mutational signatures.

    Davies H, Glodzik D, Morganella S, Yates LR, Staaf J et al.

    Nature medicine 2017;23;4;517-525

  • A somatic-mutational process recurrently duplicates germline susceptibility loci and tissue-specific super-enhancers in breast cancers.

    Glodzik D, Morganella S, Davies H, Simpson PT, Li Y et al.

    Nature genetics 2017;49;3;341-348

  • The topography of mutational processes in breast cancer genomes.

    Morganella S, Alexandrov LB, Glodzik D, Zou X, Davies H et al.

    Nature communications 2016;7;11383

  • Landscape of somatic mutations in 560 breast cancer whole-genome sequences.

    Nik-Zainal S, Davies H, Staaf J, Ramakrishna M, Glodzik D et al.

    Nature 2016;534;7605;47-54

  • The genome as a record of environmental exposure.

    Nik-Zainal S, Kucab JE, Morganella S, Glodzik D, Alexandrov LB et al.

    Mutagenesis 2015;30;6;763-70

  • Inference of identity by descent in population isolates and optimal sequencing studies.

    Glodzik D, Navarro P, Vitart V, Hayward C, McQuillan R et al.

    European journal of human genetics : EJHG 2013;21;10;1140-5

  • Utility of non-rule-based visual matching as a strategy to allow novices to achieve skin lesion diagnosis.

    Aldridge RB, Glodzik D, Ballerini L, Fisher RB and Rees JL

    Acta dermato-venereologica 2011;91;3;279-83

Glodzik, Dominik
Dominik's Timeline

Graduated with a PhD in Computational Biology from The University of Edinburgh


Graduated with a first class degree in Computer Science and Artificial Intelligence from The University of Edinburgh