The universe can be defined by the data it generates. However, collecting all of the universe’s data is impossible. In this talk, Erik will discuss how he uses mathematical techniques to account for missing data, and use this information with dynamic modeling algorithms to garner a deeper understanding about our complex world. He will then discuss how XYO is creating a unique and powerful dataset that will surely lead to incredible insights when analyzed.
Erik Saberski joined the XYO team as the lead mathematician and data scientist while pursuing his PhD in Biological Oceanography studying nonlinear dynamics, complexity theory, and data-driven theory at the Scripps Institution of Oceanography (SIO). He fascinated by variable interactions within complex systems and use dynamic modeling techniques to understand the casualties in blockchain markets, ecological systems, and even the locations of objects. This ties in with XYO’s goals of connecting blockchain to the real world. XYO has enabled millions of devices globally to be part of a decentralized data network, sharing data about their real world surroundings. Erik uses this data to get a better understanding of the complexities of the world in which we live.