Greetings! My name is Joshua Eick.
I'm a Blockchain Investment Scientist. I was operating across Austin, TX and the United Kingdom. Currently working remotely.

My scholarly and applied interests converge at the frontier of blockchain economics, machine learning & neural networks, and digital asset valuation theory:

• Network Valuation Framework in Digital Assets: I formulate and empirically validate quantitative valuation models for decentralized networks, extending Metcalfe's Law through machine learning inference to elucidate the intrinsic value of digital assets, principally through building the BNV Framework.
• Algorithmic Investment Research in Ethereum: Engineer of Economic Demand & Supply Functions for modeling demand and supply dynamics in the Ethereum smart contract platform for developing a predictive model.
• Deep Learning in Digital Financial Systems: I build GRU-Attention-CNN hybrid architectures to model digital asset price dynamics, synthesizing frontier representation learning with blockchain network theory to attain R² > 0.95 on Glassnode data (2015–2022).

I hold a Master of Science in Financial Technology from the University of Strathclyde — the inaugural institution globally to confer a graduate degree in FinTech (2017), ranked #6 in Accounting & Finance in the United Kingdom — and I passed CFA Level 1.

I co-authored an academic peer-reviewed publication, Refining Metcalfe's Law for Digital Blockchain Network Valuation, in collaboration with Ken Alabi, Ph.D., M.CAE, appearing in the International Journal of Blockchain Technologies and Applications and disseminated via SSRN.

I conduct the Blockchain Worldwide Tour — attending the world's foremost blockchain summits and hackathons, producing investment and research reports via Medium.