Carlos Javier Galán Zavala is a Mexican Mathematician currently completing a research internship under the supervision of Raúl Astudillo and Marcos Matabuena. His work focuses on developing new methods for missing-data imputation in digital health, with particular emphasis on data collected from continuous glucose monitoring devices and physical activity trackers using functional data analysis and machine learning models. In the coming years, Carlos aims to pursue a PhD in machine learning and mathematical statistics at a leading academic institution. His goal is to contribute to the development of rigorous and innovative data science methodologies with the potential to generate meaningful impact across a wide range of scientific and applied fields.
Search for Carlos Javier Galan Zavala's papers on the Research page