I am a student in the specialized Master's degree of geographical information science at the Department of Geography, University of Zurich. GIScience is concerned about computational techniques to capture, represent, process, and analyze geographic information. Especially the inherent spatial dependencies found in most human actions and natural phenomena are of particular interest for me.
Because of my studies, I have acquired the knowledge and a variety of programming languages to analyze and solve spatial problems by means of computing techniques or simulations. Especially the field of computational movement analysis, in which I write my Master’s thesis, is a strength of mine. During the last years, I have investigated a variety of different spatial phenomena, among others glacier flows, connectivity of street networks and their use to automatically cluster cities, or the modeling of linguistic regions in Switzerland, which are aware of space as an influencing factor.
Born and grown up in Zurich, I am concerned with urban spaces, which experience a constant flow of change. Additionally, I am fascinated by Mediterranean to alpine landscape motifs. A great passion of mine is time lapse photography, which allows to capture complex processes, such as the formation of natural events or human movement patterns in active locations.
Furthermore, film and image processing inspires me, because here I can fully live out my love for the detail. Working with photography always presents me with exciting challenges, brings unforgettable moments and lets me see the world through other lenses.

If you are looking for a spatial analysis, image processing or photographs, I would be happy if you contact me.



Glacier flow model

Application to model glacier flow, based on the glaciers mass balance and a digital elevation model. GitHub | GFM for macOS

Modeling linguistic regions

Generating continuous spatial surfaces for the manifestations of various linguistic phenomena in the Swiss-German language. GitHub | More

Change detection in global temperature

Global surface temperature layers are interpolated based on a point measurement data set of the worldwide surface temperature, which has been recorded since 1950. For the spatial interpolation, an universal Kriging approach is applied with additional layers for the continentality, the atmospheric distance, the North-South topographic gradient and the sun inclination angle of every pixel. GitHub | More

Earthquake visualizer

Java application to fetch and plot the worldwide earthquakes of the last week from the USGS feed in real time. GitHub | EarthquakeVisualizer