Neurodata
Signals become relationships. Relationships become models. Models can become evidence.
Neuro Research Manager · COO & Founder, Neuro Garage
Fiorella
Reátegui
Empirical mathematician by practice.
Pattern seeker by nature.
I work at the intersection of neurophysiological measurement, human behavior and applied mathematical modeling—turning complex data into interpretable evidence.
attention
emotion
cognition
observe → measure → model → test
2014 → 2026
12 years in applied neuro research
Lima · Peru
01
Why neuroscience?
The question came before the career.
I remember the first time I drew a neuron for a school assignment. Of all the things I drew as a child, that neuron somehow remained.
Growing up in Latin America, surrounded by extraordinary cultural richness but also deep social contradictions, I kept returning to one question: what happens inside the human mind that makes us behave the way we do?
I came to believe that meaningful transformations in society eventually reach the same point of origin: the human mind. Institutions matter. Education matters. Technology matters. But human beings create, interpret and transform all of them.
Every profound human change eventually passes through the mind.
02
Mathematics came first
A bigger blackboard every year.
My father is an engineer by profession and a mathematician at heart. He taught me mathematics. Every year, he replaced my blackboard with a larger one—with one condition: I had to inaugurate it with a mathematical operation large enough to fill the entire board.
And he used to tell me:
“People lie.
Numbers don’t.” — my father
Years later, working with human behavior and neurotechnology, I understood that sentence differently. Human beings forget, rationalize and reinterpret. Measurement gives us another layer of evidence.
03
Reality before comfort
Bias is a filter. Data can take it away.
Bias may be one of the most powerful forces in human beings. It behaves almost like a photographic filter placed between reality and ourselves.
Researchers are not immune. We observe a phenomenon, form an interpretation and sometimes become attached to it. Then the numbers arrive. Sometimes they confirm us. Sometimes they remove the filter.
THE USEFUL PART OF TRUTH
Reality does not disappear because we dislike it.
Knowing it gives us something more valuable than being right: the possibility of making better decisions.
04
Team Patterns
I rarely see an object as only an object.
I see relationships, proportions, construction, function and the possibility of changing them.
Fashion
I see a garment and its pattern starts drawing itself in my head. Change the body, and the geometry changes.
Objects
Beauty matters. But to me, beauty without function is incomplete.
Nature
Structure, proportion and synchronization are everywhere. I see in them the work of the greatest mathematician of all: God.
I don’t see isolated objects. I look for the pattern that makes them work.
05
From the laboratory to Neuro Garage
Twelve years of learning by measuring.
2014
First encounter with neurotechnology
Eye tracking. EEG. GSR. From that day, there was no turning back.
Eye On Media
The laboratory became the foundation
I learned from calibration and participant handling through every operational layer of a study, all the way to treating and interpreting the data produced by each technology.
2020
Neuro Garage
In October 2020, Neuro Garage was founded. I have served from the beginning as Founder, shareholder and Director of Operations, now COO & Neuro Research Manager.
Now
From data treatment to scientific systems
I formulate, adapt and combine algorithms, interpret neurophysiological data and direct programmers when scientific reasoning must become software.
12
years in applied neuro research
5
countries of research experience
6
neurotechnology families in hands-on practice
2020
Neuro Garage founded
06
What I do today
Between scientific questions and computational systems.
01
Formulate algorithms for neurophysiological data
02
Adapt mathematical models to empirical problems
03
Combine methodologies and measurement systems
04
Interpret neurophysiological data
05
Translate scientific reasoning into specifications for software
06
Design and supervise applied neuro research
Eye Tracking
FaceReader
EEG
GSR
EMG
IMU
Cerebrum nobilis
Systematizing the reasoning behind neuro research.
From the foundation of Neuro Garage, Guillermo Biondi and I shared a vision: to systematize the algorithms behind our research work.
Over the last two years, that effort has become continuous. I am one of the principal developers working on its scientific and algorithmic evolution—while the underlying intellectual property remains deliberately confidential.
Discover Neuro Garage ↗07
Research interests
Two fields. One question: how do human beings become who they are?
Education
I am fascinated by the influence of emotion on learning and by the way a child’s environment can become either a catalyst or an obstacle.
Learning is extraordinarily demanding: multiple internal processes converge, effort can produce physiological changes in the brain, and children depend deeply on the people from whom they learn.
We are born unfinished. Learning participates in constructing who we become.
Criminology
I have seen injustice, and it hurts. There is nothing more devastating than a cry for help left unanswered.
Everyone chooses the tools with which to fight their battles. Mine is neuroscience.
Criminology confronts us directly with the complexity of behavior, decision-making, environment, cognition and bias.
08
Faith, reason & order
I am a practicing Catholic.
My faith is not a substitute for empirical evidence, nor do I use it as one. It is part of how I understand existence, human dignity, purpose and the extraordinary mathematical order I observe in nature.
Science helps me investigate how things work. Faith addresses a different category of questions. I have never felt the need to choose between them.
09
A non-conventional scientific path
Transparent by design.
My formal academic background is in Marketing and International Business at Universidad Peruana Unión in Tarapoto.
My scientific and mathematical education developed through a different route: laboratory practice, neurotechnology, applied research, continuous study and twelve years working with neurophysiological data.
I do not present “empirical mathematician” as an academic degree. It describes the way I work: observe, measure, find the pattern, model it, test it and improve it.
10
Notes
Ideas I want to examine in public.
Research notes, questions and observations. Not polished certainty—work in progress.
Why I think patterns are more interesting than numbers.
Coming soonEmotion is not a footnote in learning.
Coming soonWhat happens when the data destroys your favorite hypothesis?
Coming soonThe direction
Every problem humanity creates begins, at some point, in a human brain.
Research is one of the best places to start building something better.