This manuscript summarizes my previous work in cognitive neuroscience and delineates the short-term steps and the global vision for my future research interests. The overarching goal of my research career is to investigate human cognition using different tools and methods. Inter- and multi- disciplinarity are two key aspects that characterize my scientific journey, and it’s essential to keep these elements in mind when navigating through this manuscript. Several topics and methods sparkled my scientific curiosity, from unconscious learning to brain oscillations, from computational modeling to neural networks. Besides my neverending interest in human cognition, the pole star that has always set the course is the quest to find a comprehensive framework to understand the human mind. I started my journey during my phd when I explored unconscious and sequence learning, running several experiments on healthy humans (often medicine students). After establishing a methodologically sound framework to investigate unconscious processes, I explored how these influence eye movements, pupil size, and EEG recordings. Next, I set the course toward more computational shores, investigating how predictive coding could give rise to neural oscillations and traveling waves during my postdocs. Moving through differential equations and neural networks, I compared the performance of models with humans in different tasks, such as visual reasoning or artificial grammar learning. In the next years, combining all I learned along the way, I will dive into brain dynamics at different scales, understanding whether predictive coding could be the critical framework for understanding brain dynamics or, at least, traveling waves. In the long term, I plan to set sail toward more clinical-oriented applications, exploring the fascinating new world of computational psychiatry.