I am an interdisciplinary social scientist with a focus on computational social sciences.
For my thesis I developed a statistical procedure to estimate the neighborhood structure of urban subpopulations based on urban infrastructures. I used these results to find the neighborhood structures in any given German city. The results are applicable for different fields, such as urban development and crisis communication, as well as for improving search results in real estate and relocation websites.
In addition to data analysis I have an interest in data visualization and mapping to give deeper insight and understanding of the data we analyze. This is especially the case when we try to analyze complex systems such as urban areas. Here there are not only a few factors involved, but many. Data visualization and mapping helps in such cases to make the data easily approachable for everyone. To analyze and visualize data, I frequently use R and Python.
I also like to work in transdiciplinary teams, which provide the opportunity for collaboration, sharing knowledge and ideas, and learning to see things from different perspectives.
I currently work as a Assistant Professor in the Finance and Decision Sciences Department, at Trinity University in San Antonio, TX, where I work in the field of complex data analysis, and urban development. One of my current research projects is how we can use data and technology to make better decisions in cities and businesses.