Daniel Howard is a Partner at 10T. Daniel joined 10T from Spark Cognition where he was a Machine Learning Engineer developing new technologies for text analysis and image recognition. Prior to Spark Cognition, Daniel was a Business Analyst at Verisk Analytics, working in Business Development and assisting in execution of M&A transactions. He also led the early stages of Verisk’s European expansion through data analytics and predictive modeling, quantitatively analyzing total addressable market and identifying potential go-to-market strategies for each business unit.
Daniel has been an active member in the DAE space, researching Web3 protocols and more recently focusing on peer-reviewed emerging research on technological advancements in the sector. Daniel graduated from Columbia University with his B.A. in Mathematics and Statistics (2019), M.A. in Quantitative Methods (2020) and M.S. in Business Analytics (2021).