At ParadigmaX SpA (NEUROATLETISMO™), I co-founded a behavioral research venture and developed predictive models using differential equations and Python simulations to map how attention, interest, and intention consolidate into behavior.
I analyze physiological and time-series data, including EEG and HRV, and use Monte Carlo simulations and Sobol sensitivity analysis to test behavioral hypotheses. My work connects cognitive theory with data capture and market intelligence.
In independent research and consulting, I built dynamic models of memory and behavioral consolidation and handled quantitative data pipelines with Python, R, SPSS, and Excel. I also developed an information-complexity metric and a cognitive-state classification model that achieved 80% accuracy.

