Adam Sabra is an aspiring Machine Learning Engineer graduating from the University of California, Davis as a Statistics major with a track focus in Machine Learning. He utilizes signal processing and machine learning techniques to quantify and separate various aspects of songs, with his thesis focusing on vocal extraction. Adam’s main goal is to use these skills to forge a career path in audio research and even become a Professor down the line. If he’s not developing his next project or this website further, you can find Adam watching movies, collecting vinyl records, or hiking.
BSc in Statistics - Machine Learning, 2021
University of California, Davis