Chris Ratto

About Me

Dr. Christopher Ratto is a member of the Senior Professional Staff at The Johns Hopkins University Applied Physics Laboratory. He supervises the Algorithm Development and Data Analysis section of the Oceanic, Atmospheric, and Remote Sensing Sciences group. Dr. Ratto’s research interests include applications of statistical signal processing and machine learning to problems in remote sensing, target detection, and computer vision.

Education & Industry Experience

Dr. Ratto is the supervisor of the Artificial Intelligence Group in JHU/APL’s Research and Exploratory Development Department, which conducts foundational research in AI with the intent of broadly impacting the missions of the Laboratory’s sponsors. He has 15+ years of experience developing AI/ML algorithms for a variety of sensing and imaging applications, including satellite reconnaissance, detection of buried landmines and IEDs, and neural decoding. Dr. Ratto holds a B.E.E. from The Catholic University of America, and an M.S. and Ph.D. in Electrical and Computer Engineering from Duke University.

Contact Dr. Christopher Ratto at [email protected].


Human head with a luminous brain network. Digital brain, Analysis information, Cyber mind, Deep and Machine learning, Consciousness, Artificial intelligence, Technology background concept.

Assurance of AI Enabled Systems

This workshop introduces state-of-the-art methods for developing testing and evaluation plans for AI-driven systems and addresses novel challenges these systems present.

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Artificial Intelligence course

Leading Data and AI-Enabled Organizations: For Executive Leaders (US Government)

This course provides executive government leaders with the tools to harness artificial intelligence (AI) for the benefit of their organizations using a holistic perspective on AI technology integration.

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Artificial Intelligence course

Leading Data and AI-Enabled Organizations: For Senior Leaders (US Government)

This course aims to provide senior government leaders with a comprehensive approach to adopting AI technology. It will allow leaders with a framework to unpack the question, "How do we...

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