
About
Dr. Nima Abedpour serves as Professor and Principal Investigator at the University of Cologne, leading the Abedpour Lab focused on Computational Systems Biology of Cancer. His research addresses tumor complexity through single-cell multi-omics technologies and advanced statistical modeling to overcome limitations of traditional bulk-level cancer profiling.
His primary research domains include Computational Biology, Systems Biology, and Cancer Biology, with specialized focus on Tumor Evolution, Single-Cell Genomics, and Machine Learning applications. The lab investigates signaling network malfunctions, stromal remodeling, immune suppression mechanisms, and treatment response dynamics in heterogeneous tumor environments.
Recent publications (2015-2020) reveal consistent emphasis on cancer evolution modeling and multi-omics integration, spanning mutational signature analysis, intratumor heterogeneity in lymphomas, gene expression prediction, and metabolic network modeling. Key methodological threads include machine learning applications for clonal dynamics reconstruction and systems-level interpretation of high-resolution cancer data.
As Principal Investigator, Dr. Abedpour mentors PhD students Marcel Kaluza-Reil and Lea Kowsky alongside postdoctoral researchers Rahil Gholamipoorfard and Amin Mokhlesi. His team structure supports collaborative investigation of tumor-microenvironment interactions through computational and experimental approaches.
The Abedpour Lab operates at the intersection of oncology and computational science, utilizing state-of-the-art single-cell technologies to decode cancer evolution patterns. Current work emphasizes convergent evolution mechanisms in therapy resistance and stromal-immune-tumor cell crosstalk dynamics.
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