This digital place puts together ideas and projects aroused through a multidisciplinary career that, along with the collaboration with researchers from different fields, enabled me to integrate these disciplines in what I take today as my main areas of activity: artificial intelligence (AI) and neuropsychoanalysis.
From these disciplines, whole areas can come together: computation and engineering can then approach neurosciences and psychology. It is astonishing to find out the roots of what is now understood as cognitive sciences. I would dare say that all these perspectives are supported on the same points: perception and acting.
In short, this website is a meeting point and also a digression one, a place for sharing and for discussion. But more than that, to integrate.
This personal website has two primary purposes: (i) promoting scientific research on artificial intelligence (AI) and neuropsychoanalysis fields; and (ii) contributing to the scientific dissemination in this area. Regarding the first one, it’s somehow apparent that English would be the most appropriate language for this. On the other hand, disseminating the scientific findings in these areas becomes an even more necessary demand in different languages, such as Portuguese, my native idiom. About this last, it is in my roadmap to turn this site a bilingual one. Due to time constraints, not for now.
In addition to this section you are reading, the website is organized into the following categories: tutorials, in which I explore some specific technique or code; blog, where I provide comments, opinions, or chronicles about some of the themes I am engaged with; and publications, where I list my main scientific and academic activities.
Regarding the content, I curate it in three main categories, accessible from the top menu: AI & Data Science; Neuroscience & Psychology, which includes psychoanalysis; and Market & Management.
About the author
I was an introspective, observant, and curious child. Growing up in a house with a large yard, I could have my own “laboratory,” where I played to be a scientist. Of this time, my great find was only the conviction that I wanted to take this game seriously.
I went to college, and before that, I had started working. The goal, besides sustaining myself, was to be able to travel. The introspection that had always accompanied me had now to divide space with my impetus to communicate. I discovered, after all, that asking, discussing, exposing, and talking were very complimentary tasks to the ability to observe.
I graduated as an electrical engineer, and then I won the world: with a backpack and an already renewed passport in my hands, I changed my public service vacancy in Brazil for a year as a visiting researcher in Portugal, while I was taking my master’s degree in computing. I learned a lot. But much of this came from the people I met. I traveled to Asia and to Africa. I’ve been to Bolivia and to Norway. And between places, flavors, and unpleasantness, I began to outline what would be my main research object: human perception.
This question took on higher proportions, from the academic point of view, when my then advisor of the New University of Lisbon, Prof. José Manuel Fonseca, asked me why we could so easily identify objects in a low-quality image bank, while our algorithms were far from being successful. Finally, we were able to adjust our algorithms to our expectations, but the wondering about our perception would remain…
I returned to Brazil in 2012 and joined the Technology team of GVT — a Telecommunications company based in Curitiba and recognized for its innovation capacity. The Company was later incorporated into Telefônica Vivo, a leading multinational in the segment and headquartered in Spain. Since then, my main activity has always been associated with innovation projects, product development, and technology prospecting. All these activities included the approximation and the elaboration of technical-scientific partnerships with universities and different sectors of the private initiative.
A few years later, in 2014, I became directly involved in projects related to the emerging technologies for big data and analytics, which brought me essential insights into the need to model the problem and to deepen its understanding before any attempt to apply AI or machine learning techniques. From these cases, the questions about human perception and decision processes have reemerged. Searching for some theoretical justifications for these questions, I’ve approached neuropsychoanalysis and information theory, both now constituting the theoretical ground of my doctoral research, which I started in 2017 at UTFPR.