Ingo is the PI of the ExoAI project. He is a lecturer at the University College London (UCL) and works on characterising extrasolar planets via studying their atmospheres. He is also heavily involved in the ESA-M4 Ariel space mission.
Angelos Tsiaras is a UK Space Agency / European Research Council PDRA working on data analysis in exoplanet characterisation. In particular Angelos is an expert in analysis of Hubble Space Telescope data as well as ground-based facilities.
Nikos is a European Research Council PDRA working on scalable deep learning methods for exoplanet data analysis. His previous work focused on cost-sensitive learning, ensemble methods and information theory.
Is a PhD student from the UCL Centre of Doctoral Training in Data Intensive Science. Mario is working on machine learning approaches to data analysis and data detrending in exoplanet observations.
George is a UK Space Agency PhD student at UCL. He is working on characterising trace gases in the Martian atmosphere using atmospheric inverse retrievals.
Gordon (Kai Hou)
Gordon is a UCL Centre of Doctoral Training in Data Intensive Science PhD student working on machine learning in exoplanet data analysis, in particular with application to directly imaged planets. He is also an active developer of the TauREx atmospheric retrieval framework.
Tiziano is a finishing UCL/INAF PhD student. His recent project involved atmospheric retrievals of exoplanets using deep neural networks. In October 2018 he moved to work with Jeremy Leconte at the Observatoire de Bordeaux