Université de GenèveDépartement de Physique ThéoriqueCAP Genève

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Michele Mancarella

Michele Mancarella's picture
Position: 
Former member
Phone: 
+41 22 379
Email: 
Michele.Mancarella@unige.ch

Publication listings: 
inSPIRE
Topics: 
Dark energy, Modified gravity, Gravitational waves, Machine Learning, LISA collaboration

Bio: 
  • Since Oct 2019: Postdoc, Université de Genève
  • Oct-Dec 2018: Scholar at School of Artificial Intelligence, PI-School, Roma (Italy)
  • April-June 2017: Data Science Fellow, DataScientest, Paris (France)
  • Sep 2015-April 2016: Cooperation Associate, CERN, Genève (Switzerland)
  • 2014-2017: PhD student, CEA Saclay & Université Paris-Saclay, Paris (France)
  • 2008-2014: B.Sc. + M.Sc, Università di Pisa, Pisa (Italy)

Recent publications and presentations:

Cosmology and modified gravitational wave propagation from binary black hole population models
Date: 15. March 2022
Members involved: Michele Mancarella, Michele Maggiore
Topics: Gravitational waves, statistical methods in cosmology, Dark Sirens, Dark energy, Black Holes
Type: Publication
Probing modified gravitational wave propagation with strongly lensed coalescing binaries
Date: 14. October 2021
Members involved: Andreas Finke, Stefano Foffa, Francesco Iacovelli, Michele Maggiore, Michele Mancarella
Topics: Gravitational waves, Gravitational lensing, Dark energy
Type: Publication
DarkSirensStat
Date: 12. August 2021
Members involved: Andreas Finke, Stefano Foffa, Francesco Iacovelli, Michele Maggiore, Michele Mancarella
Topics: Gravitational waves, Dark Sirens
Type: Research Tools
Cosmology with LIGO/Virgo dark sirens: Hubble parameter and modified gravitational wave propagation
Date: 1. February 2021
Members involved: Andreas Finke, Stefano Foffa, Francesco Iacovelli, Michele Maggiore, Michele Mancarella
Topics: Gravitational waves, Modified gravity, Hubble constant, Dark energy, Statistical Inference
Type: Publication
Seeking New Physics in Cosmology with Bayesian Neural Networks I: Dark Energy and Modified Gravity
Date: 9. December 2020
Members involved: Michele Mancarella, Joe Kennedy, Benjamin Bose, Lucas Lombriser
Topics: Large-scale structure, Neural Networks, Dark energy, Modified gravity, Machine Learning
Type: Publication

Pages

Address

Département de Physique Théorique
Université de Genève
24, quai Ernest Ansermet
1211 Genève 4
Switzerland
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