Creation of recommendation systems in banking using machine learning and deep learning tools. In addition, natural language processing projects focused on sentiment analysis and topic modeling in social networks were carried out.

Research and application of frequency analysis and machine learning in non-stationary time series for the diagnostic support of metal disorders. In addition, writing of scientific articles and development of research projects framed in the analysis of databases to solve clinical problems.

Applied data science in electroencephalographic databases to detect behavioral disorders using branches of artificial intelligence such as Machine Learning and statistical modeling from programming languages such as Python.