About
I am a Postdoctoral Researcher at ACS-USP (Agentic Complex Systems — University of São Paulo), working at the intersection of AI research, complex systems, and multi-agent intelligence. My background spans a PhD in Physics focused on statistical mechanics, machine learning, and societal polarization modeling, followed by postdoctoral research at Aston University on epidemic control and optical communications. Today I design and study AI agents — their reasoning, collective behavior, ethics, and emergent dynamics.
Experience
Research on AI agents and multi-agent systems, focusing on emergent collective behavior, moral susceptibility of language models, ethical alignment, and agentic architectures grounded in complex systems theory.
Machine learning and model development for business processes in retail, including sales performance analysis, price tracking, and AI-driven product matching.
Two concurrent projects: (1) Optimal control of epidemic spread via SIR model on complex networks using Dynamic Message Passing, investigating conditions under which resource sharing is collectively beneficial. (2) Optimized QAM signal decoding for optical fibre communications via Generalized Belief Propagation, achieving up to 20% improvement over standard methods.
Analyzed the demographics of hyperpartisan news sharing in Brazil, identifying polarization intensity and its sociodemographic distribution across Facebook communities using large-scale out-of-memory data pipelines.
Research Themes
Education
Statistical mechanics of affective-ideological polarization. Developed an optimized ML algorithm enabling neural networks to assign trust/distrust to information sources, and discovered an entropic learning dynamics for neural networks.
Modeling of ideological polarization in the Brazilian Congress and its relation with public opinion, using Monte Carlo simulation of interacting neural network systems.