This inter-disciplinary workshop aims at bringing together researchers from Astrophysics and Biomedical Sciences, to discuss the statistical and machine learning methods that are transforming both fields.
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 Cosmic Dawn Center in Copenhagen, date TBD depending on developments in the Covid situation. It will offer an ideal space for scientific interaction (talks, discussion panels) and practical (“hands-on”) coding sessions, both peer-to-peer and led by experts. The program will take into account different levels of skill and knowledge in astro- or bio-informatics: either if you have several years of experience, or have started only recently to play with these techniques, you are most welcome to participate! There will be parallel sessions to meet the different needs of the audience.
More details can be found in the Scientific Rationale and later on in the scheduled Program. Please check also the deadlines for abstract submission and registration. We encourage to confirm your presence at your earliest convenience as this workshop has a limited number of participants.
- Samir Bhatt (Imperial College London)
- Søren Brunak (University of Copenhagen)
- Erik B. Dam (University of Copenhagen)
- Marc Huertas-Company (Instituto de Astrofisica de Canarias, Observatoire de Paris)
- Emille E. O. Ishida (CNRS/Laboratoire de Physique de Clermont)
Adriano Agnello (DARK, University of Copenhagen)
Samir Bhatt (Imperial College London)
Iary Davidzon (DAWN, University of Copenhagen)
Fabian Gieseke (DIKU, University of Copenhagen)
Theis Lange (IFSV, University of Copenhagen)