I have always worked on communication between the different levels of organization in the brain with Computational Neuroscience. My research focuses on the computational modeling of ion channels, synapses, neurons, networks, and systems, which involve many spatial scales and their interactions. Throughout my career, I have also acquired expertise in Dynamical Systems, Stochastic Processes, Information Theory, and Deep Learning. Quantitative analysis, which requires Data Science, is also a part of my daily work. I completed a postdoctoral training at NJIT and Rutgers University, and I received my Ph.D. in the field of Physics Applied to Medicine and Biology from the University of Sao Paulo. Additionally, I participated in a partnership with the International Research Training Group IRTG 1740 between Brazil and Germany, and I was a visiting scientist at the Humboldt University of Berlin and at the Bernstein Center for Computational Neuroscience. I have also received training and worked at the Swiss Federal Institute of Technology in Lausanne as an undergraduate. My research is highly collaborative, and I invest a significant amount of effort into bridging the gap between theory and experimentation. Recently, I have been investigating novel neuron-glial interactions to enhance artificial intelligence capabilities.