Csaba Liber did his MSc in Electrical Engineering at the Budapest University of Technology and Economics, with specialization on intelligent robots and vehicles. Since then, he worked on several projects applying machine learning, artificial intelligence and other techniques for automated object and person recognition. He developed automated traffic counting for Zoosh, developed algorithms for collision avoidance for Knorr-Bremse Rail Systems and used neural networks for passenger counting and object detection at Adaptive Recognition Hungary. He just joined the field-resolved infrared spectroscopy team as a computer scientist. He will work on new algorithms for ultra-precise infrared molecular fingerprinting and develop the software for our next-generation instruments.