Fatma Aziza Merzouki

Dr. Fatma Aziza Merzouki is a Data Scientist and Postdoc Researcher at the University of Geneva's Faculty of Medicine, affiliated with the Institute of Global Health. She holds a PhD in Computer Science (2018) and completed her BSc (2010) and MSc (2012) in Computer Science at UNIGE. Previously, she served as a research and teaching assistant in the Scientific and Parallel Computing group (SPC), focusing on cell-based numerical models of epithelial tissues. Her current research investigates socio-behavioral drivers of HIV prevalence and incidence in Sub-Saharan Africa, leveraging data science, machine learning, and mathematical modeling.

Education:

• BSc in Computer Science, University of Geneva (2010)
• MSc in Computer Science, University of Geneva (2012)
• PhD in Computer Science, University of Geneva (2018)

Research Interests: Aziza's work combines computational methods with epidemiology to address global health challenges. Key areas include:

• Machine learning for HIV prediction and intervention design
• Mathematical modeling of infectious disease spread
• Data-driven analysis of socio-behavioral factors in public health
• Collaborative projects with biologists and biophysicists

Publications: Her research spans tuberculosis treatment outcomes in Haiti, spatial HIV modeling in Malawi, and automated literature review tools using NLP. Recent work emphasizes scalable epidemiological platforms like EpiGraphHub and predictive analytics for HIV status determination.

Awards: No awards explicitly mentioned in the text.

Grants & Advising: No grants or formal advisees listed. However, her research involves collaborations with institutions like the WHO and field partners in Sub-Saharan Africa.

Labs & Teams: Active member of the Institute of Global Health's HIV research team and previously contributed to the Scientific and Parallel Computing group's biophysical modeling efforts.