This inter-disciplinary workshop aims at bringing together researchers from Astrophysics and Medical/Public Health Sciences, to discuss the statistical and machine learning methods that are transforming both fields and create an occasion of "cross-pollination".
At a first glance, the two research fields may seem disconnected from each other, as one focuses on problems affecting our planet while the other explores the depth of the sky. However the framework to address those issues is actually very similar: for example, in the next few years answers shall come from large data sets (digital astronomical surveys, digital medical records) analyzed through innovative “data-driven” tools.
This workshop will be held at the DTU branch of the Cosmic Dawn Center in Copenhagen, 27 and 28 of May 2021. It will offer an ideal space for scientific interaction (talks, discussion panels) and practical coding sessions. The programme will take into account different levels of skill and knowledge: either if you have several years of experience, or have started only recently to play with these techniques, you are most welcome to participate!
More details can be found in the Scientific Rationale and the scheduled Programme. We expect to have 50 seats available at the venue in addition to on-line participation. These figures are not definitive, since regulations change periodically according to the evolution of Covid-19 pandemic. In any case, online participation is guaranteed. Please check regularly the FAQ page, which also contains the latest updates.
- Samir Bhatt (Imperial College London)
- Søren Brunak (University of Copenhagen)
- Marc Huertas-Company (Instituto de Astrofisica de Canarias, Observatoire de Paris)
- Samuel Farrens (CosmoStat Laboratory, CEA-Saclay)
- Emille E. O. Ishida (CNRS/Laboratoire de Physique de Clermont)
- Filippo Pagani (University of Cambridge)
- Jean-Luc Starck (CosmoStat Laboratory, CEA-Saclay)
SOC and LOC:
Adriano Agnello (DARK, University of Copenhagen)
Nikki Arendse (DARK, University of Copenhagen)
Nina Bonaventura (DAWN, University of Copenhagen)
Iary Davidzon (DAWN, University of Copenhagen)
Theis Lange (IFSV, University of Copenhagen)
Thomas Mellan (Imperial College London)
John R. Weaver (DAWN, University of Copenhagen)
We acknowledge support from Novo Nordisk Foundation through the grant NNF19OC0059326 and from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 896225. The image above is a detail of a photo by Gabe Brammer (all rights reserved)