With a degree in Physics and a Master in High Energy Physics, Astrophysics and Cosmology at Universitat Autònoma de Barcelona (UAB), Arnau Pujol obtained his PhD on Phyics (Cosmology) at the Institute of Space Sciences (IEEC-CSIC) in Barcelona. He then move to CEA Saclay for a postdoctoral position to focus on cosmology with machine learning and he came back to the Institute of Space Sciences for another postdoctoral position and a Juan de la Cierva Fellowship.
He is now a Marie Curie fellow at ISGlobal, working in the Malaria Physicopathology group. His research is focused on the statistical analysis of malaria transmission, studying spatial and temporal patterns of malaria transmission in pregnant women in Southern Mozambique. He is also studying the genetic patterns and populations of the parasite, with the goal of identifying key markers that are highly informative of importation and changes of transmission.
Lines of research
- Evaluate the potential of pregnant women as a sentinel group of malaria surveillance
- Spatial and temporal patterns of malaria transmission
- Malaria genomics for population analysis and importation
- A. Pujol, J. Bobin, F. Sureau et al. 2020, Shear measurement bias II: a fast machine learning calibration method, Astronomy&Astrophysics, 643, A158
- A. Pujol, M. Kilbinger, F. Sureau et al. 2019, A highly precise shear bias estimator independent of the measured shape noise, Astronomy&Astrophysics, 621, 2
- C. Chang, A. Pujol, B. Mawdsley et al. 2018, Dark Energy Survey Year 1 results: curved-sky weak lensing mass map, MNRAS, 475, 3165
- A. Pujol, R. Skibba, E. Gaztañaga et al. 2017, nIFTy cosmology: the clustering consistency of galaxy formation models, MNRAS, 469, 749
- A. Pujol, K. Hoffmann, N. Jiménez et al. 2017, What determines large scale galaxy clustering: halo mass or local density?, Astronomy&Astrophysics, 598, 103