DataKind DC

DataKind DC

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DataKind DC launched in August 2014 to bring the data-for-good movement to America’s capital. Washington DC is home to many organizations doing social good at local, national, and international levels and DataKind has already worked with several of them. The city also has a thriving community of data scientists organized by Data Community DC, and they are complemented by civic-minded groups like Code for DC and high-profile attention to data from the White House’s and DC's Office of the CTO. Despite the vibrant data and social good ecosystem of DC, there is a need to bring these groups together to foster more collaboration. Datakind DC is thrilled to play that role, facilitating data-for-good engagements to build the capacity of organizations and data scientists alike to put data in service of the public good. 


Meet the Team

  • Dan Kheloussi

    Dan is an energy industry analyst in the Federal Energy Regulatory Commission’s Office of Energy Policy and Innovation, where he focuses on emerging issues and technologies in electricity markets. He previously supported the Department of Energy's Office of Electricity Delivery and Energy Reliability with the development and demonstration of smart grid technologies, and has also performed research in various fields, including particle physics and LED lighting. Dan has a Bachelors of Science degree in Engineering Physics from the University of Pittsburgh and a Masters of Science degree in Applied Economics from Johns Hopkins University. When he's not writing queries and making graphs, Dan enjoys playing basketball, taking advantage of the cultural events around Washington, DC, and volunteering with local farmers markets.

  • Aimee Barciauskas

    Aimee Barciauskas has over five years software engineering experience and holds a master's degree in data science. She is currently working with the Centers for Medicare & Medicaid Services, building a data ingestion and scoring system to pay Medicare providers based on quality of care. During graduate school, Aimee teamed up with Barcelona's Supercomputing Center to develop and visualize recurrent neural networks and text mine government documents. When away from her keyboard, Aimee enjoys running, rock climbing and podcasts.

  • William Ratcliff

    William is a physicist at the National Institute of Standards and Technology.  His current interests include magnetic materials and the physics of strongly correlated electrons. His interest in data includes inverse problems, machine learning and data visualization. Outside of work, he enjoys running, baking, traveling and data science!

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