Simon Hessner is a research intern at the Multicomp lab in the Language Technologies Institute at Carnegie Mellon University. His main research interest is the field of Computer Vision, especially problems related to facial image analysis. Together with Amir Zadeh he is working on facial landmark detection and variational auto-decoders to model face shapes. He received his bachelor’s and master’s degrees in computer science from Karlsruhe Institute of Technology (KIT). From November 2018 to April 2019 he was a visiting scholar at CMU and worked on his master’s thesis on facial landmark detection. He returned to CMU in September 2019 as a research intern.