Cem Meydan is a Senior Research Associate at the Institute for Computational Biomedicine and Physiology & Biophysics. His current research focuses on integrative genomics to understand the shifts in the epigenome of hematological malignancies. Dr. Meydan has experience developing and utilizing statistical models and advanced machine learning methods for the interpretation and integration of both large-scale population studies and small-scale targeted datasets in cancer research encompassing multimodal data across a wide spectrum of -omics. These include genomic, epigenomic, transcriptomic, and chromosomal architecture data in bulk, single-cell and spatial contexts, as well as microbiome data for host-microbe and environment-host-microbe relationships. His research interests are the mechanisms of cancer initiation and immune evasion, tumor evolution, and the immune-cancer-microbiome axis. Dr. Meydan has a Ph.D. in machine learning applications in structural biology and molecular modeling from Sabanci University, Istanbul.