Bio
Adam Van Etten is the Chief Data Scientist for In-Q-Tel, where he focuses on applied machine learning topics of interest to the US Government. His most recent research has been in the geospatial analytics realm, where he applies machine learning and computer vision techniques to satellite imaging data. Adam currently focuses on managing and assisting with the myriad In-Q-Tel Labs research projects, as well as helping to guide the strategic vision of the lab. Other recent foci for Adam are helping run the SpaceNet initiative, and exploring the limitations and utility functions of machine learning techniques.
Prior to In-Q-Tel, Adam was a Solutions Architect and Data Scientist for Data Tactics working at DARPA headquarters developing tools and scalable algorithms for big data analysis on a variety of projects. Adam received his Ph.D. in physics from Stanford University and bachelors in physics and astronomy from the University of Washington.
