[ult_team img_hover_eft=”” image=”id^2868|url^https://lifelonglearning.jhu.edu/wp-content/uploads/2021/12/Ligozio-Headshot-scaled.jpg|caption^null|alt^Profile photo of Kevin Ligozio in a grey suit with tie|title^Ligozio Headshot|description^null” name=”Kevin Ligozio (Course Director)” team_css=”.vc_custom_1723501184715{margin-right: 5px !important;}”]

Mr. Kevin Ligozio is the Chief AI Architect of the Asymmetric Operations Sector (AOS) of the Johns Hopkins University Applied Physics Laboratory (APL). AOS comprises approximately 1600 staff across three mission areas focused on advancing the nation’s ability to defeat the asymmetric threat, whether human-made or naturally occurring.
Areas of focus include countering weapons of mass destruction, mission autonomy, cyber operations, biological threats, and terrorism. Mr. Ligozio oversees efforts to achieve these goals through the advancement and utilization of data science and artificial intelligence. Previously, Mr. Ligozio served as the Technical Director and Assistant Group Supervisor of the Tactical Intelligence Systems Group within the AOS, conducting technical research, providing technical oversight and technical staff management for multiple AI programs focused on researching, developing, and integrating AI technologies into DoD tactical-edge platforms.

Mr. Ligozio is also an adjunct professor in The Johns Hopkins University Whiting School of Engineering’s Computer Science Master’s Program. He received a B.A. in Mathematics and Computer Science from the State University of New York at Geneseo and an M.S. in Computer Science from the Rochester Institute of Technology.

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[ult_team img_hover_eft=”” image=”id^5557|url^https://lifelonglearning.jhu.edu/wp-content/uploads/2022/07/jane-pinelis-scaled.jpg|caption^Studio Portrait of Jane Pinelis|alt^Profile photo of Jane Pinelis in a black shirt|title^Jane Pinelis|description^null” name=”Jane Pinelis, PhD” team_css=”.vc_custom_1723501170810{margin-right: 5px !important;}”]

Dr. Jane Pinelis currently serves as the Chief AI Engineer of the Applied Information Sciences Branch at Johns Hopkins University’s Applied Physics Laboratory (JHU/APL). With a background in defense and national security spanning over 15 years, Dr. Pinelis has held various critical positions of responsibility. Before her current role, she served as the inaugural Chief of AI Assurance at the Chief, Digital and AI Office (CDAO) and the Joint Artificial Intelligence Center (JAIC) at the Department of Defense, where she oversaw the Test and Evaluation, as well as Responsible AI directorates. Dr. Pinelis holds a BS in statistics, economics, and mathematics, an M.A. in statistics, and a Ph.D. in statistics, all from the University of Michigan, Ann Arbor.

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[ult_team img_hover_eft=”” image=”id^7664|url^https://lifelonglearning.jhu.edu/wp-content/uploads/2023/08/Ratto_Christopher_00105451-861-scaled.jpg|caption^null|alt^Profile photo of Christopher Ratto with glasses in a suit and tie posing for a classic portrait.|title^Ratto_Christopher_00105451-861|description^null” name=”Christopher Ratto, PhD” team_css=”.vc_custom_1723501086237{margin-right: 5px !important;}”]

Dr. Christopher Ratto is the supervisor of the Artificial Intelligence group in APL’s Research and Exploratory Development Department and has over 15 years of experience applying AI/ML to problems in national security and
defense. The AI Group is comprised of over 40 scientists and engineers conducting foundational research in AI with potential for cross-mission impact, by working in performer and Government-team roles on 6.1-6.2 research programs and “inventing the future” for APL by experimenting emerging AI technologies and sharing lessons learned throughout the Lab. Prior to his current role, Dr. Ratto was a Program Manager in APL’s Sea Control Mission Area for Maritime Remote Sensing. His personal research interests include adversarial machine learning, generative AI, and remote sensing applications of interest to the intelligence community. 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.

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