Régnier completed his undergraduate degree in Computer Science at Griffith University with a major in Data Science and Artificial Intelligence. Subsequently, he started his research undertaking at UTS, where he began with a Master by Research and upgraded to a PhD in 2023. His research interests are graph analytics, knowledge representation, and uncertainty in AI. He currently works with the Digital Finance CRC on cryptoasset analytics.