Mhaned Oubounyt

Dr. Mhaned Oubounyt is a Postdoctoral Researcher at the University of Hamburg, affiliated with the Computational Systems Biology (CoSy.Bio) group within the Faculty of Mathematics, Informatics and Natural Sciences. His work focuses on developing computational methods for analyzing single-cell and spatial transcriptomics data, particularly in the context of disease mechanisms and drug repurposing. He is actively involved in the NetMap project, advancing dimensionality reduction techniques using differential regulatory networks.

Research interests include gene co-expression networks, spatial single-cell analysis, and systems medicine applications. His methodologies bridge computational biology with clinical and agricultural challenges, such as vaccine responses in pregnancy, plant disease resistance, and cardiovascular pathophysiology. Key contributions include the SCANet and Drugst platforms for drug candidate identification and network-based analysis.

Publications highlight a strong focus on network biology applications across domains: from immune system modeling to plant stress responses, leveraging single-cell multi-omics integration. His work emphasizes translational research, with implications for personalized medicine and crop improvement.

Collaborations span academic and clinical institutions, reflecting his interdisciplinary approach. Current projects aim to enhance predictive modeling of disease progression and therapeutic interventions through systems-level insights.