RESEARCH
Her research aims to elucidate the molecular mechanisms underlying the progression of multiple myeloma from its precursor states, such as MGUS and SMM, to clinically active disease. By integrating multi-layered omics datasets—including bulk transcriptomics, epigenomics (ATAC-seq and ChIP-seq), and 3D genome architecture—she investigates how genetic alterations and epigenetic reprogramming drive disease evolution. A central focus of her work is the identification of key transcription factors that regulate progression-specific programs. Utilizing both human patient samples and genetically engineered mouse models that recapitulate key features of multiple myeloma pathogenesis, her research seeks to uncover novel therapeutic targets for personalized interventions. In collaboration with King Faisal Specialist Hospital & Research Centre (KFSH&RC), she is also generating single-cell transcriptomic data from plasma cells and the bone marrow microenvironment of multiple myeloma patients in Saudi Arabia, contributing to a more comprehensive and localized understanding of the disease to advance precision medicine efforts.

BIOGRAPHY
Aleksandra Kurowska holds a MSc in Applied Genetics from Ilia State University, Tbilisi, Georgia (2020), where she gained early research experience in molecular biology and genetic analysis. Driven by a growing interest in immunology, Aleksandra pursued a one-year research internship at the Institute for Regenerative Medicine at the University of Zurich, Switzerland (2021), in the Gene- and Cell Therapy Lab. She worked on a project developing lentiviral vector therapy for an inborn immunodeficiency of phagocytes, chronic granulomatous disease. This experience provided her with valuable insights into gene therapy approaches and their potential applications in treating genetic disorders.
Aleksandra is currently a Ph.D. candidate in the Bioscience program at King Abdullah University of Science and Technology (KAUST), Saudi Arabia, specializing in Bioinformatics under the supervision of Prof. David Gomez-Cabrero. Her research focuses on dissecting the molecular complexity of multiple myeloma, a hematological malignancy, through the integration of multi-omics data. By leveraging cutting-edge sequencing technology and advanced computational methods, she aims to unravel cellular heterogeneity and identify key regulatory mechanisms driving disease progression. Her work bridges genetics and bioinformatics to enhance our understanding of cancer biology and explore potential therapeutic targets.