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Phil Sallee
Computer Vision and Machine Learning Engineer
Phil Sallee is a seasoned Senior computer vision and machine learning scientist with a rich background spanning over 20 years in advanced data modeling and computer vision applications. His expertise includes Bayesian statistical methods, deep learning, object recognition, forensic media analysis, image and video enhancement, steganography, and steganalysis. Phil boasts exceptional skills in organizing and leading research and development projects, offering technical guidance, and tackling complex intelligence challenges in a collaborative setting.
His exceptional analytical and problem-solving abilities have facilitated numerous innovations and technological advancements, leading to the swift transformation of concepts into tangible prototypes. Phil's research contributions are well-documented through journal publications and conference articles, focusing on machine learning, media forensics, image statistics, information hiding, classification, pattern recognition, and biometrics. His technical proficiencies encompass various domains, such as computer vision, signal processing, statistical data modeling, steganography, image and video enhancement, forensic media analysis, algorithm design, rapid prototyping, and employing tools like MATLAB, C, C++, Python, and Perl. He also excels in machine learning techniques and deep learning frameworks like Tensorflow and Keras.
Phil Sallee pursued his academic endeavors with diligence, achieving a Ph.D. in Computer Science, a Master's degree in Computer Science, and a Bachelor of Science in Computer Science with Cum Laude honors, all from the prestigious University of California, Davis. Throughout his professional journey, Phil has held significant roles in renowned organizations, including his current position as a Senior Principal Computer Vision and Machine Learning Engineer at Raytheon. Previously, he contributed as an Adjunct Professorial Lecturer at American University, Senior Lead Technologist at Booz Allen Hamilton, Graduate Researcher at UC Davis, Associate Instructor at UC Davis, and Software Test Engineer at Irvine Compiler Corporation.
