Patrick Dendorfer is a PhD student in Computer Science at the Dynamic Vision and Learning Group under supervision of Prof. Dr. Laura Leal-Taixé. Patrick Dendorfer focuses in his research on human trajectory prediction based on deep learning methods. He also tries to apply the physical laws of the system to the deep learning algorithm in order to constrain its prediction.

In 2014, Patrick Dendorfer obtained a Bachelor's degree in Physics from the Ludwig Maximilian University (LMU) in Munich. For his Bachelor's thesis he worked on seismic tomography and started to learn about computational simulations. After that, Patrick Dendorfer started his Master's in Physics at LMU and spent one year at the Universidade de Lisboa as an ERASMUS exchange student. In his final year, he wrote his Master's thesis at the University of Oxford about dynamical systems on networks under supervision of Prof. Dr. Reed-Tsochas. Alongside his studies he gained experience in consulting by working for different consulting firms and participating in student-run consultancies.