Lisette Espín Noboa

Lisette Espín Noboa is a Research Fellow at the DNDS Department of Central European University, working on the BigData++ EU project. Her research focuses on integrating socio-economic, mobility, and infrastructure data to develop machine learning models for urban analysis. She holds a PhD in Natural Science from the University of Koblenz-Landau, a Master's in Computer Science from the University of Saarland, and an Engineer's degree from ESPOL in Ecuador.

Education:

• PhD in Natural Science (2021), University of Koblenz-Landau
• Master's in Computer Science (201?), University of Saarland
• Engineer in Computer Science (201?), ESPOL

Her research interests intersect network science, machine learning, and urban informatics. She has pioneered techniques for inferring wealth indices using satellite imagery and mobility data, and developed methods to analyze ontology navigation and relational classification biases. Current work emphasizes model adaptability in data-scarce environments.

Key Projects:

• BigData++ EU Project: Urban socio-economic modeling
• SoBigData++: Social media and big data analysis

Lisette has collaborated with institutions including Stanford's BMIR Lab and USC's ISI, and previously led software development at neoBOX S.A. Her technical expertise spans ontology analysis, Twitter sentiment modeling, and infrastructure data fusion.