MoveWise: Reinforcement Learning for Behaviorally-Aware Mobility-as-a-Service. Deep Q-Network engine with React/Three.js frontend for sustainable urban transport nudging. NEXUS 2026 — Politecnico di Torino.

Reinforcement Learning with human behavioral biases integration

This article reframes pricing as a negotiation rather than a prediction, showing how price emerges from tensions between product reality, market dynamics, and buyer behavior. It introduces negotiation-aware ML, value decomposition, and equilibrium modeling to build transparent, human-aligned pricing systems.

A deep exploration of loyalty as a multi-dimensional behavioral system shaped by intent, habit, and sensitivity. This article introduces a geometric framework for modeling customer behavior, predicting churn trajectories, and designing ML systems that understand loyalty as a dynamic state, not a metric.

A research-grade framework for forecasting tokenomic gene evolution across market cycles. Analyzes historical gene frequencies, models behavioral drift, and predicts future gene expression using interpretable trend and moving-average forecasting. Designed for tokenomics research, risk analysis, and evolutionary cryptoeconomics.

Code and materials for the paper S. Phelps and Y. I. Russell, Investigating Emergent Goal-Like Behaviour in Large Language Models Using Experimental Economics, working paper, arXiv:2305.07970, May 2023

Audit UI/UX against Product Psychology & Behavioral Economics frameworks to maximize Net Perceived Value (NPV). Turn your AI into a Senior Growth Designer.

Generate hundreds of AI personas with real behavioral psychology. Simulate them through your pricing, copy, and feature decisions. The verdict isn't the point — the reasoning is.

MoveWise is a behavior-aware MaaS optimization platform that uses Double DQN reinforcement learning, generalized cost modeling, and personalized nudges to shift users from car dependency to sustainable multimodal travel. It includes a Python/PyTorch RL engine, FastAPI backend, and React frontend with live route, nudge, and carbon-impact intelligenc

Model recovery analysis for intertemporal choice

R Package to perform behavioral analysis on financial data.

A system used to implement a gender bias, credit attribution experiment at the Harvard Decision Science Laboratory

A blog serving as a notebook and idea-dump for books I read related to economics, psychology, neuroscience, and quantitative modeling.

All the files and data for the experiment performed during the course Behavioural Economics @ University of Amsterdam

A quantitative research project analyzing financial literacy, risk preferences, and the influence of social media on teenage investment behavior.

Predicting Human Strategic Behavior with Neural Networks

Course materials for Behavioral Economics at Boston College, Fall 2019

Analysis and modelling of effort-based choice in economic decision-making

AI-powered conversational agent for chronic disease treatment adherence