Diego Rodriguez-Perez is a distinguished astrophysicist and data scientist currently working at the Instituto de Astrofísica de Canarias (IAC) in Tenerife, Spain. His research primarily focuses on extragalactic astronomy, cosmology, and the large-scale structure of the Universe. He is deeply involved in leveraging big data and machine learning techniques to analyze vast astronomical datasets from surveys like the Euclid mission. Diego is passionate about understanding the mysteries of dark energy and dark matter and plays a significant role in developing data processing pipelines and scientific exploitation tools for major international collaborations. Beyond his research, he is an active science communicator, dedicated to making complex scientific concepts accessible to the public.
Diego Rodriguez-Perez's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Plays a pivotal role in the European Space Agency's (ESA) Euclid mission, focusing on data processing, simulations, and scientific analysis to map the geometry of the dark Universe.
Recognized for applying and developing novel machine learning algorithms and statistical methods for the analysis of large-scale astronomical surveys, enhancing the discovery potential of cosmic phenomena.
Earned a Doctor of Philosophy (PhD) in Astrophysics, specializing in areas related to cosmology and galaxy formation, providing a strong foundation for his subsequent research contributions. (Completed at Universidad de La Laguna / IAC).
Engages actively in science outreach and education through public talks, articles, and online platforms, effectively translating complex astrophysical research for a general audience.
Contributed significantly to the development and implementation of software tools and data analysis pipelines essential for processing and interpreting data from telescopes and surveys.
University of North Carolina at Charlotte - Year 2020
University of North Carolina at Charlotte - Year 2018
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