• 11, Porte des Sciences, Maison des Sciences Humaines

    L-4366 Esch-sur-Alzette/Belval

    Luxembourg

20102025

Research activity per year

Personal profile

Research summary

I am a spatial data scientist with over a decade of experience developing innovative computational methods to address complex socio-economic and environmental challenges. My expertise spans spatiotemporal data mining, GeoAI, machine learning, human mobility analytics, and geographic information systems with applications in urban development, climate change, and public health.

As Spatial Data Science Lead and Research Associate at the Luxembourg Institute of Socio-Economic Research (LISER), I lead several high-impact research initiatives. I serve as Principal Investigator for multiple funded projects, including IMSensing (developing AI-powered mobile sensing applications for personal environment assessment), GP4H (advancing geoprivacy solutions for personalized health), COVID-Contrail (applying deep learning to detect contrail outbreaks from satellite imagery), and GEOFAIR (implementing FAIR principles for geospatial research infrastructure).

My research portfolio demonstrates versatility and impact. I have developed methods for analyzing sensor-based data to understand relationships between mobility patterns, environmental exposures, and health outcomes, particularly in aging populations. Previously at the University of Zurich, I made substantial contributions to MOASIS, MOBITEC-GP, and MOBITEC-Stroke projects, establishing innovative approaches to quantify mobility-health relationships.

My work appears in high-impact journals across multiple disciplines, including Health & Place, Urban Forestry & Urban Greening, and Physical Review E. I maintain productive international collaborations with partners across Europe, Asia, and North America while mentoring the next generation of spatial data scientists.

I hold a PhD in Geography with a focus on Geographic Information Science from Pennsylvania State University and remain committed to advancing spatial data science for public good and industrial innovation and contributing to the scientific knowledge and practices in the fields of urban mobility, climate change, health, and aging.

Education/Academic qualification

PhD, Local Indicators of Temporal Burstiness for Spatio-Temporal Event Analysis, Pennsylvania State University

Award Date: 1 May 2018

Master, 3D Sequential Object Clustering for Spatio-Temporal Data Analysis

Award Date: 19 Aug 2009

Bachelor

External positions

Affiliated Researcher, University of Zurich

Jul 20222025

Postdoctoral Research Fellow & Lecturer, University of Zurich

1 Feb 201830 Jun 2022

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or