Career

I am currenly working as a data scientist/software engineer at Scailyte AG, a company aimed at developing new disease diagnostics using singe-cell sequencing and artificial intelligence. My main responsibility is driving the development of the core machine learning platform ScaiVision.

Professionally, I am a(n)

  • Experienced medical AI data scientist and programmer in Python/R/Bash, responsible for the (co-)development of several genomics pipelines and biomedical deep learning platforms.
  • Effective communicator, as demonstrated by 7 scientific journal publications (5 first author, mean impact factor 7.6), being selected as first reviewer of The 100 Page Machine Learning Book, and Forbes co-authorships on AI articles.
  • Strong project manager and collaborator: headed several multi-disciplinary teams and supervised 5 students on several different projects, resulting in continued funding and top 10% marks for the student projects.

Details can be found in my resume below:

Projects

Some examples of data science projects I have been or are involved in:

  • Creating an AutoML deep learning platform for biomarker discovery (based on the CellCnn network)
  • Differential gene expression analysis to find cancer treatment resistance factors (chapter 5 of thesis)
  • Automated image analysis on immunoflurorescence slides (chapter 2 of thesis)
  • Genome structure analysis to stratify patients in responder and non-responder (abstract)
  • Application of deep learning to predict protein features (unpublished)
  • Programming of an interactive user interface in shiny to vizualize multiplex experiments (link)

Thesis

My thesis on microenvironmental signalling in chronic lymphocytic leukemia can be found below:

Forbes publications

  • Software Ate The World, Now AI Is Eating Software (link)

Scientific journal publications

  • Pascutti MF, Jak M, Tromp JM, Derks IA, Remmerswaal EB, Thijssen R, van Attekum MHA, van Bochove GG, Luijks DM, Pals ST, van Lier RA, Kater AP, van Oers MH, Eldering E. IL-21 and CD40L signals from autologous T cells can induce antigen-independent proliferation of CLL cells. Blood. 2013 Oct 24;122(17):3010-9. Pubmed - Journal - Full text
  • van Attekum MHA, Terpstra S, Reinen E, Kater AP, Eldering E. Macrophage-mediated chronic lymphocytic leukemia cell survival is independent of APRIL signaling. Cell Death Discovery. 2016;2:16020. Pubmed - Journal - Full text
  • van Attekum MHA, Terpstra S, Slinger E, von Lindern M, Kater AP, Eldering E. Macrophages confer survival signals via CCR1-dependent translational MCL-1 induction in chronic lymphocytic leukemia. Oncogene. 2017 Jun 29;36(26):3651-3660 Pubmed - Journal - Full text
  • van Attekum MHA, Eldering E, Kater AP. Chronic lymphocytic leukemia cells are active participants in microenvironmental cross-talk. Haematologica. 2017 Sep;102(9):1469-1476 Pubmed - Journal - Full text
  • van Attekum MHA, Lebre MC, Eldering E, Kater AP. CD40 signaling instructs CLL cells to attract monocytes via the CCR2 axis. Haematologica. 2017 Dec;102(12):2069-2076 Pubmed - Journal - Full text
  • van Attekum MHA, Kater AP, Eldering E. The APRIL paradox in normal versus malignant B cell biology. Cell Death Dis. 2016 Jun 23;7(6):e2276. Pubmed - Journal - Full text
  • Wensveen F, Slinger S, van Attekum MHA, Brink R, Eldering E. Antigen-affinity controls pre-germinal center B cell selection by promoting Mcl-1 induction through BAFF receptor signaling. Sci Rep. 2016 Oct 20;6:35673. Pubmed - Journal - Full text

Press publications

  • For our B cell malignancies consortium: Wetenschapper in de spotlights (link)
  • For our B cell malignancies consortium: Een publicatie toegelicht (link)

Honors and awards