Andresa Campos

Analysis Team Lead

Dark Energy Survey•  October 2019 - December 2023

- Designed, implemented and tested novel pipeline using unsupervised learning and Bayesian inference to efficiently and comprehensively analyze data from about 100 million galaxies, the largest galaxy catalog to date - Reduced uncertainty in redshift characterization by up to 66% compared to the state of the art in the field - Led teams of between 5 and 8 scientists analyzing cosmological data, delivering high-quality results on schedule - Co‐authored over 40 publications featured in renowned peer‐reviewed journals such as Monthly Notices of the Royal Astronomical Society. Cited over 3,400 times with an h‐index of 26