Hakim Benkirane

My research focuses on developing mathematical and computational methods for multimodal data integration in precision medicine. Drawing from my background in mathematics and computer science, I work on creating reliable machine learning approaches that can meaningfully combine diverse types of medical data to support personalized treatment decisions, particularly in oncology. Currently, I'm a postdoctoral researcher in the Biomathematics Team at MICS Lab, CentraleSupélec, where I collaborate with clinicians and researchers at Gustave Roussy Cancer Institute through IHU PRISM. Our work aims to bridge the gap between complex biomedical data analysis and practical clinical applications.

I am particularly interested in developing robust methods for integrating multiple data modalities - from medical imaging and genomics to clinical records - to better understand disease mechanisms and support more personalized treatment strategies. I welcome discussions and collaborations with researchers and clinicians who share an interest in advancing precision medicine through thoughtful data integration approaches.