Pascal Friederich is tenure-track professor at the Institute for Theoretical Computer Science (ITI) of KIT as well as associated group leader at the Institute for Nanotechnology (INT) and leads the research group AiMat (Artificial Intelligence for Materials Sciences). In his interdisciplinary work, Pascal Friederich focuses on the use of artificial intelligence in material simulation, virtual material design, and autonomous experimental platforms for automatic material recognition.
After completing his bachelor's and master's degrees in physics at KIT, Friederich developed a new method for calculating the material properties of organic semiconductors as part of his doctoral studies, also at KIT, which points the way to the design of novel organic semiconductors. During research stays at the Georgia Institute of Technology (USA) and as a Marie Curie Fellow at Harvard University and the University of Toronto, he worked on the development of machine learning methods for various disciplines. He is the author of numerous publications in prestigious scientific journals.