I am a Geoinformatics and Spatial Data Science researcher with a foundation in computer technology and a growing specialisation in Environmental epidemiology, human mobility modelling, and infectious disease risk mapping. My work focuses on integrating multi-source population flow datasets with Bayesian spatiotemporal modelling and agent-based simulation to understand disease transmission dynamics at fine spatial scales.
I have strong expertise in reproducible research, code auditing, and open science workflows, supporting transparent and verifiable computational analysis. Technically, I combine spatial statistics, GIS, and data engineering with programming for scalable health analytics. My broader interests lie in computational public health, mobility-driven risk modelling, and the development
of open, decision-support tools for epidemic preparedness and response.
Currently, I am expanding my expertise as a graduate student at the Institute for Geoinformatics (IFGI), University of Münster. I also serve as a Research Assistant and Reproducibility Manager at the Münster Centre for Open Science. I'm passionate about using spatial data to drive sustainable socio-economic development, and I'm actively seeking opportunities where technology intersects with science and society.
Key Skills and Interests:
Geoinformatics & Spatial Data Science
Geo Health (Environmental Epidemiology)
Full Stack Development
Open Science
My ultimate goal is to merge my technical expertise with my passion for environmental sustainability, driving impactful solutions at the intersection of technology and geoinformatics.
Let's connect! I'm always eager to collaborate, exchange ideas, and explore opportunities in IT, geospatial data science, and sustainability. Feel free to check out my repositories or reach out to discuss exciting projects.
