La Plata, Buenos Aires Province, Argentina
I study how complex systems organize, adapt, and generate collective behavior. Throughout my career, I have explored these questions across biology, neuroscience, artificial intelligence, public policy, and organizational systems. My work combines computational modeling, data analysis, and systems thinking to understand how interactions between parts give rise to collective outcomes. I am interested in applying lessons from living systems to organizations, decision-making, and human coordination, exploring how complexity science can help us navigate challenges that cannot be understood by examining isolated components alone.
Studied how complex biological systems organize, adapt, and recover using AI and large-scale multimodal data. Developed reproducible analytical workflows to transform high-dimensional data into actionable scientific insights.
Explored how collective behavior, adaptation, and decision-making emerge across social and technological systems. Developed interdisciplinary models and systems-level approaches for understanding complex real-world problems.
Developed computational tools that transformed complex scientific models into accessible decision-support systems. Bridged modeling, software engineering, and machine learning workflows to make advanced methods usable across disciplines.
Taught quantitative and biological sciences while fostering analytical thinking, critical reasoning, and problem-solving. Helped students develop systems-level approaches to understanding complex scientific questions.
Analyzed large-scale social systems databases, bridging advanced methods usable across disciplines, translated complex information into actionable insights for strategic decision-making across stakeholders.