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.

A personalized ride-sharing two-sided matching decision-making method considering passenger no-show behavior

A Julia package for utility-based models of decision making

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

Codes and supplementary materials for my Quantitative Finance research "Replication of Reference-Dependent Preferences and the Risk-Return Trade-Off in the Chinese Market"

Presentation slides of a talk about what is rationality in decision making from game theory perspective?

A Python-based portfolio optimization engine implementing Kahneman & Tversky's Cumulative Prospect Theory (CPT) for behavioral wealth management.

Comprehensive notes on Kahneman's Thinking, Fast and Slow — System 1/2, biases, prospect theory, and better decisions

Code for "Risk and loss aversion and attitude to COVID and vaccines in anxious individuals" by Ferrari, Alexander and Seriès (2023).