Johannes TextorTheoretical Biology and Bioinformatics
Faculty of Sciences
The immune system is one of the two important cognitive systems in the human body. But how does the immune system process and react to information? To understand this better, I apply computational and mathematical models. Two main focus areas of my research have been lymphocyte migration -- how do distributed lymphocytes collectively protect us from infections? -- and thymic selection -- how do T cell repertoires learn to attack pathogens while tolerating self?
Computational models ultimately have to be validated using experimental data. Modern experimental methods often provide a lot of important information than cannot be extracted using old-fashioned statistical tools. Therefore, another focus of my work has been to develop more powerful and more valid statistical methods to analyze biological data. Particularly, I worked on analyzing cell tracks from intravital imaging experiments, 3D reconstruction and quantification of anatomical structures, and methods for causal inference from observational data. Lastly, I am keen to put the methods I develop into the hands of working experimentalists, and have therefore written some pieces of open-source software. My most widely used software is DAGitty, a tool for modeling causal networks.