Anne is an advisor at Elotl. She has an ongoing interest in the intersection of resource efficiency and
artificial intelligence. She worked on Uber's Michelangelo Machine Learning platform, on the management
stack for Velocloud's SD-WAN product, on VMware's Distributed Resource Schedulers for server and storage
infrastructure, on performance analysis for VMware's hypervisor and hosted products, on Omnishift's
transparent application and data delivery over the web to the desktop, on Transmeta's Crusoe processor
performance and power, and on Hewlett-Packard's low-level compiler optimizer. She received bachelors and
masters degrees from Duke University, and a doctorate from University of Virginia, all in Computer Science.