Founded in 2015 as a technology challenge lab within In-Q-Tel (IQT), CosmiQ Works is an IQT Lab focused on developing, prototyping, and evaluating emerging open source artificial intelligence capabilities for geospatial use cases. Artificial intelligence will fundamentally change how geospatial analytics is performed and CosmiQ Works helps accelerates development and adoption of these technologies into deployable products. And by the way, it’s pronounced “Cosmic.”

Interested in joining the team? Contact us!

Meet the Team

Ryan S. Lewis
Senior Vice President

Since co-founding CosmiQ Works in 2015, Ryan has been responsible for developing its technical research strategy, building collaborative partnerships, and leading specific project. Ryan also helped found SpaceNet®, a non-profit LLC organization designed to accelerate research in the development of machine learning algorithms for remote sensing applications.

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Adam Van Etten, Ph.D.
Director of Research, CosmiQ Works

Adam applies machine learning and computer vision techniques to satellite imaging data, focusing on problems of interest to the U.S. government. Adam also helps run the SpaceNet initiative and focuses on researching rapid computer vision techniques that readily scale to the enormous sizes of satellite imagery corpora.

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Jake Shermeyer
Research Scientist

Jake is a researcher and geographer specializing in geospatial machine learning and computer vision. His research with satellite imagery focuses on time series analysis, super-resolution, and object detection with overhead imagery.  Jake also is leading SpaceNet 6, a sensor fusion challenge featuring both synthetic aperture radar and electro-optical remote sensing data for foundational mapping.

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Daniel P. Hogan, Ph.D.
Data Scientist

Daniel is a data scientist with CosmiQ Works, an In-Q-Tel Lab, based in Arlington, VA.  His work has focused on training data requirements for geospatial machine learning.

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Roshan Ram
Intern

Roshan is an undergraduate student and Quantitative Scholar at Carnegie Mellon University, double majoring in Machine Learning + Statistics and Information Systems. Fun fact: Roshan is a competitive cuber, having officially solved a 3×3 Rubik’s Cube in under 13 seconds.  

Ari Chadda
Intern

Ari is an undergraduate at Dartmouth College where he is pursuing a major in Computer Science and a minor in Arabic. Before joining CosmiQ, Ari interned in the District of Columbia’s Office of the Chief Financial Officer and at the National Institutes of Health where he focused on data-centric economic policy evaluations and schizophrenia related receptor-ligand interactions respectively. He hails from Bethesda, Maryland where he attended the Landon School.