Do Relationships Among Cryptocurrencies Evolve Over Time? Insights from Bayesian Networks

Rasoul Amirzadeh, Senior Data Scientist Engineer, Home.ca
Tuesday, 16th June 2026 at 11AM Sydney/Melbourne (AEST)

Sign up for this upcoming webinar: https://BNMAWebinarJun.eventbrite.co.nz

This webinar presents insights from Rasoul’s published PhD research on analysing relationships among major cryptocurrencies using Bayesian Networks. The study explores not only whether cryptocurrencies are connected, but also how these relationships evolve over time and which assets exert greater influence within the market.

The session will provide an intuitive introduction to Bayesian Networks, discuss key findings, and demonstrate how interpretable AI methods can help uncover dynamic relationships in complex financial systems.

Rasoul (Ras) Amirzadeh is a Data Scientist and AI researcher with a PhD in Artificial Intelligence from Deakin University, Australia, where his research focused on AI applications in financial modelling and cryptocurrency markets. With experience across both research and industry, his work focuses on hybrid machine learning systems, Bayesian Networks, reinforcement learning, and explainable AI. Ras is currently working as a Senior Data Scientist Engineer at Home.ca, contributing to intelligent data-driven systems and real-world AI applications. His research interests include hybrid AI systems, causal modelling, financial analytics, and interpretable artificial intelligence.