Wilmar Cardona enjoys unravelling data while transforming it into profitable knowledge. His passion for data science stems from years of experience in the field of astrophysics where he mined sophisticated data sets and tested alternative cosmological models.
He received his B.Sc. in physics in 2009 from Universidad del Valle, Colombia. He then moved to Brazil where he received his M.Sc. in physics from Centro Brasileiro de Pesquisas Físicas in 2012. Mr. Cardona received his PhD in physics in 2016 from Université de Genève, Switzerland. He worked as a postdoctoral researcher at the Instituto de Física Teórica – Universidad Autónoma de Madrid – Consejo Superior de Investigaciones Científicas (IFT UAM-CSIC) in Madrid, Spain from 2017 to 2019. Then he served as a postdoctoral researcher at Universidad del Valle. In 2022-2023 Mr. Cardona got a postdoctoral fellowship from FAPESP as well as funding from MINCIENCIAS and he carried out research projects at the International Centre for Theoretical Physics – South American Institute for Fundamental Research (ICTP – SAIFR) & Instituto de Física Teórica IFT-UNESP in São Paulo, Brazil. Mr. Cardona is currently working on projects aiming at applications of Artificial Intelligence to sectors such as medical devices, precision agriculture, clean energy, and smart cities.