As an AI and Climate Data Scientist at Predictia, I specialize in developing and applying machine learning techniques to advance climate modeling in particular, as well as Earth sciences and data analysis more broadly. My work focuses on leveraging AI to uncover insights into the interactions between the climate system and other components of the Earth system, addressing the pressing challenges of global change through innovative solutions and predictive analytics.
Research and Employment
- 2024– Climate and AI Data Scientist, Predictia, S.L., Santander, Spain.
- 2019–2024 Research Associate, DLR, Oberpfaffenhofen, Germany.
- 2017–2019 Research Associate, Spanish National Research Council, Madrid, Spain.
- 2016 Research Associate, Lancaster University, Lancaster, UK.
- 2012 Research Assistant, Centro de Investigação em Gestão, Lisbon, Portugal.
- 2005–2010 Environmental Officer, CCOO-A, Seville, Spain.
- 2004 Undergraduate Research Assistant, AIMCRA, Seville, Spain.
Education
- 2017 PhD Atmospheric Science, Lancaster University, Lancaster, UK. Dissertation: Stratospheric ozone in the Earth system. Supervisors: Dr Paul J. Young and Prof Oliver Wild.
- 2011 MSc Climate Change, University of East Anglia (UEA), Norwich, UK. Dissertation: Investigating geoengineering solutions to meet the 2ºC target. Supervisors: Dr Naomi Vaughan and Prof Timothy Osborn.
- 2004 BSc Environmental Science, Universidad Pablo de Olavide, Seville, Spain.
Fernando Iglesias-Suarez
AI-Climate Data Scientist | Predictia
Phone: (+34) 942 76 44 10
E-mail: iglesiasf@predictia.es
Fernando de los Ríos, 48, Bajo
39006 Santander (Spain)
www.predictia.es