Brussels / 2 & 3 February 2019


Daniel Germanus

Daniel had his first interactions with programming languages back in 1983 using his brother's Commodore C64 computer. Nowadays, he focusses on software reliability, scalable machine learning, and is an open-source software enthusiast. Daniel got a Ph.D. degree in computer science from Technical University of Darmstadt in Germany. During daytime, he is employed at Deutsche Bahn where he enables colleagues and customers between the poles of open data, open source and the international data science community. Off the job Daniel likes travelling, barbecuing, IoT sensors, and he plays golf.


Title Day Room Track Start End
Condition Monitoring & Transfer Learning
Good predictions in situations with (initially) almost no data
Sunday UA2.118 (Henriot) HPC, Big Data and Data Science 16:30 16:55