Chris White is a Principal Researcher and Partner at Microsoft working on special projects. His team is currently developing software for data analysis, focusing on the intersection of artificial intelligence and business intelligence, including analytics tools from structured numerical analysis to unstructured data. They recently helped Microsoft become the visionary market leader for business intelligence. Their work has also been applied to fighting digital crime and worldwide tech scams, including the Federal Trade Commission’s Operation Tech Trap (see more here).
Before joining Microsoft, Chris was a Program Manager at the Defense Advanced Research Projects Agency (DARPA), where he created and managed DARPA’s leading programs XDATA, Memex, and the Open Catalog. His work has been applied to countering human trafficking, financial fraud, and terrorism. Chris also served DARPA as the Agency’s country lead in Afghanistan. In recognition of this work, he received the Presidential Award for Extraordinary Efforts to Combat Trafficking in Persons, the Secretary of Defense Medal for Outstanding Public Service, a Department of Treasury Intelligence and Analysis medallion, and the Department of Defense Joint Meritorious Unit Award. His work has been featured in media outlets including Popular Science, CBS’s 60 Minutes, CNN, the Wall Street Journal, Rolling Stone Magazine, TEDx, and Google’s Solve for X.
Read about Chris receiving the 2016 Presidential Award for Extraordinary Efforts to Combat Trafficking in Persons in a recent post.
Chris was profiled in a cover feature for the Sept/Oct 2016 issue of Popular Science.
Prior to DARPA, Chris was a fellow at Harvard’s School of Engineering and Applied Sciences. He was a Department of Homeland Security Graduate Fellow and earned a PhD from Johns Hopkins University in electrical engineering, where his research focused on machine learning, statistical methods for large data sets, and human language technology. He earned a BS from Oklahoma State University.
Chris’s team is currently developing software for data science, focusing on the intersection of artificial intelligence and business intelligence for scalable interaction with data. The work extends Power BI from structured numerical analysis to enable text, meta-data, and other unstructured data use cases. It is designed for both novice and expert users at low cost. The team shipped a suite of new data interfaces through Power BI in 2016/17. The Power BI visuals include the Network Navigator, Time Brush, Table Sorter, Attribute Slicer, Cluster Map, Facet Key, Strippets Browser, Heat Streams, and Timeline Storyteller. The team also shipped “solutions templates” for social brand management and API data management as well as enabled bookmarking for capturing history and storytelling in Power BI.
Learn more about current work from a profile of Chris by Microsoft.