The consortium can be contacted through this form.
Here below is the detailed list of the current members of the consortium. Each ORCid icon (ORCID icon) link to the ORCid page of the person. Also, each publication icon () link to the specific publications to which the member has contributed within the consortium.
Stockholm University
Adam Johansson Andrews ORCID icon Access to author's publication
Adam Johansson Andrews is a PhD student at Stockholm University whose research involves large-scale structures and 3D reconstruction of the dark matter fields. By employing modern data science techniques e.g. Bayesian inference and machine learning, Adam’s main research interest is to probe into the fundamental aspects of physics: nature of dark matter and dark energy, neutrino masses, and galaxy formation.
J. Jasche is an associate professor at the University of Stockholm working at the interface between theory and observations. His research focuses on understanding the gravitational evolution of the cosmic large-scale structure and the imprints of dark matter and dark energy in large surveys of the observed galaxy distribution. A common element in all his research is the development and application of modern data science as well as artificial intelligence techniques to characterize fundamental properties of the dark sector physics, test the theory of gravity and identify new physical phenomena in observations.
Institut d'Astrophysique de Paris
Tom is a post-doctoral researcher at the Institut d’Astrophysique de Paris where he is interested mostly in statistics and novel uses of machine learning. He finished his PhD in theoretical particle physics from the University of Nottingham in 2017 where his interests were mostly in statistical interpretations of anomalies arising between the CMB and large scale structure, as well as studying the effects of cosmic strings on the early universe. Recently his work has lead to the creation of a technique for optimal, likelihood-free compression of data using neural networks. He is also working on many other projects where he is trying to use bleeding-edge procedures in machine learning to solve complex problems in large scale structures of the universe, radio astronomy and survey imaging.
Florian is a post-doctoral researcher. His main interest is the development of state of the art computational, statistical and machine learning tools for an application to a wide range challenging problems in physics, including cosmological large-scale structure and the detection of cosmic rays from radio signals. Within the scope of the Aquila consortium he is currently working on a Bayesian reconstruction algorithm for the cosmic velocity field.
Doogesh Kodi Ramanah ORCID icon Access to author's publication
Doogesh is a PhD student at the Institut d'Astrophysique de Paris. He is interested in various aspects of Bayesian inference and machine learning tools for cosmological inference from the CMB and large-scale structures. In particular, he is working on optimal and fast algorithms for pure E/B decomposition of CMB polarization on the sphere, while accounting for highly complex and realistic noise models. He is also involved in constraining cosmological parameters via the cosmic expansion and in mapping dark matter simulations to 3D halo fields using cutting-edge machine learning techniques.
G. Lavaux is a permanent research scientist. He is interested in constraining fundamental physics through the use of cosmological probe. To achieve this he builds high performance and scalable algorithms to make optimal use of existing and future cosmological data sets like galaxy surveys or the cosmic microwave background. He works at the intersection of data analysis, physical modeling of observations, large scale statistical inference, high performance computing, simulations and visualization. He is a cofounder of the Aquila consortium.
Benjamin D. Wandelt ORCID icon Access to author's publication
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Imperial College London
George Kyriacou is a PhD student at the Imperial Centre for Inference and Cosmology (ICIC) at Imperial College London working on Bayesian approaches to weak lensing particularly improving the statical analysis of photometric redshifts, as well as interests in large-scale structure formation.
Florent Leclercq is a Research Fellow at the Imperial Centre for Inference and Cosmology (ICIC) at Imperial College London. His main field of expertise involves the development and application of advanced statistical and numerical methods for the analysis of cosmological data from wide and deep galaxy surveys. His PhD thesis was focused on BORG, one of the core software packages of the Aquila Consortium. He has also lead an analysis of the cosmic web in the Sloan Digital Sky Survey in link with information theory.
Observatoire de la Côte d'Azur
Max Planck Institüt für Astrophysik
Franz is as a postdoctoral researcher working in the field of cosmology at MPA. His interests include topics associated with the cosmic microwave background and large scale structure formation. Additionally, he has been developing statistical methods needed to analyze experimental data.
Minh is a PhD student at MPA. He is interested in the formation and evolution of large scale structures in the universe. He has been working on the development and use of different statistical approaches to analyze data from both simulations of Dark Matter and surveys of galaxies.
Natalia Porqueres Access to author's publication
Natalia is a PhD student at MPA. She is interested in the largest observable scales of the Universe. In particular, she is working on analyzing the Lyman alpha forest in quasar spectra in order to study the gravitational clustering of matter in the deep Universe.
Fabian is a research group leader at MPA. He is interested in theoretical approaches to large-scale structure, and to using large-scale structure to learn about gravity, dark energy, and the early Universe.
University of Oxford
H. Desmond is a postdoctoral researcher and Fellow of St John's College Oxford. He is interested primarily in devising and conducting novel tests of gravity using galaxy-scale signals. These tests often rely on precise characterisation of galaxies' gravitational environments, and hence require statistical knowledge of the distribution of surrounding matter. He also studies the relation between light and mass in galaxies, i.e. the galaxy-halo connection.
University of Waterloo
Supranta Sarma Boruah Access to author's publication
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