معرفی
Leonel Aguilar Melgar is a Lecturer in the Department of Humanities, Social and Political Sciences at ETH Zürich, where he researches computational social science and human-computer interaction. His work develops AI/ML systems to model social phenomena, with applications in urban dynamics, environmental psychology, and digital health.
Aguilar's research bridges data science and social systems through:
- Agent-based modeling of collective behavior
- Human-building interaction studies
- Digital support systems for public health
- Reproducible experimental frameworks
He contributes to open-source projects including Easeml/AutoML for accessible machine learning and computational platforms for social simulation. Aguilar's publications demonstrate innovative approaches to studying wayfinding behaviors, evacuation dynamics, and parenting interventions in low-resource settings. Recent work advances digital twin technology and VR-based experimental methods.
Honors include recognition as MIT Technology Review Innovator under 35 for Latin America (2020).
