Paco Nathan’s 30+ year career in the technology industry covers Bell Labs, early-stage startups, and everything in between. Known as a “player/coach” data scientist, Paco has led innovative data teams building machine learning applications at scale for several years. He currently leads the Learning Group at O’Reilly Media. He has recently served as an advisor to GalvanizeU and as a key evangelist for the Apache Spark, Apache Mesos, and Cascading projects. In 2015, Paco was recognized as one of the Top 30 People in Big Data and Analytics by Innovation Enterprise. He holds a BS in Math Science and an MS in Computer Science, both from Stanford University.
Areas of expertise
machine learning, distributed systems, functional programming, cloud computing