Summary
Christopher Liberatore is a Principal Scientist with 13 years of experience applying machine learning, computer vision, and statistical methods to real-world defense and speech problems. He combines rigorous academic training (PhD in Computer Science, 3.89 GPA) with hands-on systems experience in enterprise Java, SOA, and real-time signal processing, and has transitioned research into operational programs at AFRL while managing multi-million dollar funding and large contractor teams. His work spans autonomy, aided target recognition, and accent- and voice-conversion algorithms, and he has guided 14 student interns and published peer-reviewed research. Based in Dayton, Ohio, he brings a rare mix of program stewardship and deep technical subject-matter expertise that accelerates applied AI from prototype to fielded capability.
13 years of coding experience
10 years of employment as a software developer
California State University, Sacramento
Doctor of Philosophy (Ph.D.), Computer Science, 3.89 GPA, Doctor of Philosophy (Ph.D.), Computer Science, 3.89 GPA at Texas A&M University
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at Brigham Young University
English, French