Research and Application Lines
I explore human emotional complexity from an interdisciplinary approach, combining neuroscience, ethology, data science, and forensic psychology to generate knowledge applicable in clinical, community, and judicial contexts.
The Expressive Paradox in Borderline Personality Disorder
I defined and developed the concept of expressive paradox to describe the dissonance between declared emotion and shown emotion in patients with BPD (see publication). An example: recounting sadness with a visible smile, or describing fear with a voice without inflection. Rather than a communication error, this discrepancy is understood as an adaptive strategy to preserve emotional stability in contexts of high vulnerability.
Non-Verbal Behavior and Emotional Expression
I analyze non-verbal communication channels—prosody, microexpressions, gestures—to detect affective regulation patterns. This approach allows identifying early markers of emotional alterations, useful in clinical practice, research, and community intervention. Examples of this line can be seen in psychotherapeutic interventions, validation of ethological coding systems, and longitudinal studies with residents.
Computational Methods in Behavioral Sciences
I integrate tools such as PRAAT for acoustic voice analysis and FaceReader for automated facial expression recognition. I use Python for synchronization, cleaning, and advanced statistical analysis of multimodal data, ensuring reproducibility and scientific rigor. An application example is in the study on the expressive paradox.
Forensic Psychology and Judicial Expertise
I serve as an expert psychologist in high-impact judicial cases, applying technical and clinical knowledge to evaluate behavior and emotion in legal contexts. My work contributes to the construction of precise, ethical, and well-founded reports that strengthen the justice process. More details about my experience in this field can be found in the Career section.