Esperanza García Vergara

Esperanza García Vergara serves as Assistant Professor in the Department of Quantitative Methods at Loyola University Andalusia, where she teaches Probability and Statistics. Her interdisciplinary work bridges computer science, criminology, and public health through AI applications for gender-based violence prevention.

Her academic credentials include:

• PhD in Data Science (2024)
• Master's in Research Methods (2021)
• Double Degree in Psychology and Criminology (2020)

Dr. García Vergara's research pioneers AI-driven femicide risk assessment, developing genetic algorithm models that incorporate victim coping strategies and legal document analysis. Her methodology transforms static risk tools into dynamic predictive systems by integrating multilevel factors from victim behavior to judicial records, creating actionable prevention frameworks for law enforcement and social services.

Her 2022-2024 publications reveal consistent interdisciplinary output across computational science (Heliyon, Sci Rep) and public health journals (IJERPH), with systematic reviews establishing foundational knowledge and algorithmic papers delivering technical innovation. This dual approach balances theoretical rigor with practical implementation.

Currently leading a Junta de Andalucía-funded Pre-Doctoral Project (2022-2026), she directs research on femicide prediction models while mentoring doctoral candidates. Though no formal lab structure is documented, her project team operates at the intersection of data science and criminology.

Her conference presentations at international forums—including the V International Conference on Predoctoral Research in Law (2022) and I International Symposium on Feminist Studies (2021)—demonstrate active engagement with judicial and feminist academic communities to translate research into policy impact.