ABOUT COSMIQ WORKS
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.
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.
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.
Nick Weir, Ph.D.
Senior Data Scientist
Nick leads development of Solaris, an open source Python library for applying deep learning to overhead imagery data. Nick also led SpaceNet 4, a global open source coding challenge to optimize building footprint extraction from 27 different collections over Atlanta by DigitalGlobe’s WorldView2 satellite.
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.