Wilmar Cardona Data Scientist Cosmologist Astrophysicist

Biography

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. 

Welcome To My Website

Here you will find information about my work as well as my interests.  Feel free to explore this website and if you would like to learn more about me, do not hesitate to contact me.

Explore My Work

I am pretty interested in Astrophysics, Cosmology, Artificial Intelligence, and Data Science. Over the past years I have done  research and published a number of scientific articles in high impact international journals. A  full list of my publications can be found in iNSPIRE, arXiv, and ads. Nowadays my attention is focused on projects regarding the application of Machine Learning techniques and Artificial Intelligence to fields such as social sciences, agriculture, healthcare, and sustainability.  Below a few of the projects I carried out.

Research interests

Over the past years I have worked on several aspects of cosmology and astrophysics. In my work I keep a close relation between theory and observations. Theoretical cosmology is one of my main research interests and I have been involved in a few projects by building cosmological models which could explain the reason why the Universe is speeding up. Thus far I have focused on models taking into consideration a possible new kind of matter dubbed dark energy as well as models that modify General Relativity. These alternatives to the standard cosmological model could also provide plausible explanations for current tensions in cosmological parameters such as the Hubble constant and the strength of matter clustering. I have computed cosmological constraints for several models by examining their background and first order  cosmological perturbations. In doing so I have modified widely used Boltzmann solvers, coded a few programs which carry out statistical analyses, and applied Machine learning techniques for performing symbolic regression in cosmology. I  have also worked on novel statistical methods for testing non-Gaussianity in the Cosmic Microwave Background as well as possible unaccounted-for systematic errors in the determination of the Hubble constant. I am also pretty interested in studying the performance of upcoming galaxy surveys and its impact on cosmology. In particular I like examining which new effects will become relevant by carrying out forecasts.