Rate My Professor Mariike Kuijjer

Kuijjer’s research focuses on bioinformatics, computational biology, gene regulatory networks, single-sample network modeling, multi-omics data integration, precision medicine, cancer subtype identification, tumor heterogeneity, and metastatic progression. She developed influential methods including LIONESS for sample-specific gene regulatory network reconstruction and PUMA for incorporating microRNA associations. Key publications encompass “lionessR: single sample network inference in R” (BMC Cancer, 2019), “PUMA: Panda Using MicroRNA Associations” (Bioinformatics, 2020), “Gene regulatory network integration with multi-omics data enhances survival predictions in cancer” (Briefings in Bioinformatics, 2025), and contributions to JASPAR 2026 (Nucleic Acids Research, 2026). Her work has garnered over 6,000 citations. Awards include the Familien Blix Fond award for Outstanding Cancer Research (2024), Charles A. King Postdoctoral Fellowship (2016–2018), and National Cancer Institute Brain Cancer SPORE Career Enhancement Program Award (2020). She is Senior Editor at Bioinformatics Advances, Associate Editor at Cancer Research, and holds roles such as member of the iCAN Data Team and Advisory Board Member of the Nordic Computational Biology network.