The winners are chosen by these jury members who will keep in mind a number of arguments like the model accuracy, performance, data exploration phase, visuals, relevance etc.
Gert De Geyter
Gert De Geyter is a Senior Consultant Data Analytics at Deloitte, co-organiser of Data Science Ghent and an invited lecturer “Python and Data Analytics” at Toulouse School of Economics and IAE school of management. Gert holds a PhD in Astronomy where he focused on applying machine learning to automatically constructive 3D models of galaxies including radiative transfer based on multi-wavelength observations.
Maarten Baes is professor of astronomy at Ghent University since 2005. His research interests include interstellar dust, radiative transfer, infrared astronomy, and galaxy evolution. He is pursuing both theoretical and observational astronomical research, and is involved in several instrumentation projects, both for ground-based telescopes and space missions. He has authored more than 250 publications, and successfully supervised more than 10 PhD and about 40 master theses.