CW Code and Dataset for SMDS module at Coventry University. Applied Nonlinear Regression and Bayesian Inference techniques to analyze MEG brain responses from a simulated neuromarketing experiment. The project demonstrates proficiency in modeling complex biological signals and estimating parameter uncertainty using Approximate Bayesian Computation

Persuasion Mirror: A critical <"code"> project that exposes the ethical dangers and technical flaws of affective computing. This tool isn't for neuromarketing; it's a philosophical critique of emotional surveillance, built to provoke debate on data, bias, and manipulation.

🧠 Plataforma de análise neurocientífica de conteúdo para marketing - FastAPI + React + Supabase

End-to-end ML pipeline predicting TV ad memorability from EEG brain signals. Compares handcrafted spectral features vs. deep temporal embeddings (TS2Vec, FEMBA) for unaided recall classification. MSc thesis — Politecnico di Milano.

Predict how the human brain reacts to any content. CLI + Python API powered by Meta TRIBE v2. Score video, audio, or text for neural engagement. No scanner needed.

Analyzes marketing copy using behavioral signals and simulated engagement metrics.