Daniel is a Data Scientist with a BA in Economics from NYU. He has an MBA from Hult International Business School. He’s worked in futures, options, and derivatives in the traditional financial markets and has a background in math, science, and computers.

Daniel has been involved in Bitcoin since 2010 as a miner, investor, and trader. He has developed automated trading systems, valuation models, and arbitrage strategies.

Daniel is knowledgeable about: consensus protocols, cryptography, hashing functions, game theory, memory pool/fee structure, information security, market structure, exchanges, regulations. Daniel currently advises crypto startups and continues to educate people in this exciting new industry.