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Cemal Erdem

SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) Fellow

Multi-omics data integration, machine learning, and large-scale mechanistic modelling



Works at

Assistant professor at Department of Medical Biosciences
By 6M, Sjukhusområdet Umeå universitet, 901 85 Umeå

The overall theme of the Erdem Lab is to merge machine learning and mechanistic models with patient data to create clinically predictive computational models for cancer and other diseases.

Research Interests

  • Mathematical modeling of signaling cascades
  • Systems biology
  • Quantitative Systems Pharmacology (QSP)
  • Precision medicine


Bioinformatics Advances, Oxford University Press 2023, Vol. 3, (1)
Mutsuddy, Arnab; Erdem, Cemal; Huggins, Jonah R; et al.
Frontiers in Systems Biology, Frontiers Media S.A. 2023, Vol. 3
Erdem, Cemal; Birtwistle, Marc R.
Nature Communications, Springer Nature 2023, Vol. 14, (1)
Erdem, Cemal; Gross, Sean M.; Heiser, Laura M.; et al.
Communications Biology, Springer Nature 2022, Vol. 5, (1)
Gross, Sean M.; Dane, Mark A.; Smith, Rebecca L.; et al.
Nature Communications, Nature Publishing Group 2022, Vol. 13, (1)
Erdem, Cemal; Mutsuddy, Arnab; Bensman, Ethan M.; et al.
ACS Omega, American Chemical Society (ACS) 2022, Vol. 7, (33) : 28912-28923
Zadeh, Cameron O.; Huggins, Jonah R.; Sarmah, Deepraj; et al.
PloS Computational Biology, Public Library of Science (PLoS) 2021, Vol. 17, (6)
Erdem, Cemal; Lee, Adrian V.; Taylor, D. Lansing; et al.

Research groups

Head of research
Cemal Erdem Lab