Daniel Blado

Daniel Blado is an experienced data scientist with a robust background in operations research and data analysis. Daniel's career includes roles at prominent companies such as Amazon, Ford Motor Company, and Enigma Technologies, where contributions included developing machine learning models, optimizing processes, and enhancing entity resolution frameworks for extensive data sets. Academic credentials consist of a Ph.D. in Algorithms, Combinatorics, and Optimization and an M.S. in Statistics from the Georgia Institute of Technology, along with a B.S. in Applied and Computational Mathematics from the California Institute of Technology. Currently, Daniel is a data scientist at Meta, focusing on Reality Labs and the Metaverse Horizon OS.