Summary
Christopher Ratto is an AI research leader with over 15 years of experience translating advanced signal processing and machine learning research into government and defense applications. As Group Supervisor at Johns Hopkins APL he leads 60 researchers, blending technical leadership with strategic planning, hiring, and program-level test and evaluation support for DoD sponsors. His background spans MATLAB-to-Python algorithm development across EO/IR, SAR, lidar, and neuroimaging—work that earned APL’s Hart Prize—and he has repeatedly converted research into funded programs and successful competitive proposals. A former instructor who developed and taught APL’s machine learning course and an online Information Theory class at Johns Hopkins University, he pairs deep technical expertise with a talent for mentoring and scaling teams. Based in Laurel, Maryland, he brings a rare combination of hands-on algorithm craftsmanship, program management acumen, and event leadership from roles such as Program Chair for the Submarine Technology Symposium.
10 years of coding experience
7 years of employment as a software developer
M.S., Electrical and Computer Engineering, M.S., Electrical and Computer Engineering at Duke University
B.E.E., Electrical Engineering, Music, B.E.E., Electrical Engineering, Music at The Catholic University of America