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Erik Saberski
Summary
For Erik’s undergraduate thesis in Physics at Bates College, he created a dynamic modeling algorithm that was able to predict the behavior of chaotic systems. Although the main focus of his thesis was on predicting weather patterns, the chapter that caught the most attention was on predicting Bitcoin’s price. Upon graduating with degrees in Mathematics and Physics, he began work as a blockchain financial analyst and active researcher in chaos theory and Empirical Dynamic Modeling (EDM).
In 2018, Erik 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 is fascinated by variable interactions within complex systems and uses dynamic modeling techniques to understand the casualties in blockchain markets, ecological systems, and even location of objects.
Biological Oceanography Data Science Databases Ecology Evolutionary Studies Mathematical Biology Zoology