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Dr. Erik Selberg is the Head of Engineering for Data at Grab, leading Grab’s strategy in areas including artificial intelligence, big data, data warehousing, data science, real-time streaming data, and civic research. These are the core capabilities at Grab that enable critical functions such as route optimization, pricing, simulation, and driver allocation that power a safe, seamless and rewarding experience for millions of Grab’s passengers, drivers, and merchants.
Before joining Grab, Dr. Selberg spent some time working with various early stage startups in Seattle after an 8-year career at Amazon, where he was the Director of Engineering for the Big Data and Data Warehouse Team. Prior to Amazon, Dr. Selberg was at Microsoft, where he drove the first use of a neural network to power the Bing relevance engine. Dr. Selberg earned his Bachelor of Science in Math/Computer Science from Carnegie Mellon University and his PhD in Computer Science and Engineering from the University of Washington. His doctorate focused on parallel search and he created MetaCrawler, one of the first parallel search engines for the Web. MetaCrawler is still in operation today.