Aurora Cramer is currently a PhD candidate in the Music and Audio Research Laboratory studying Electrical and Computer Engineering, under the direction of Juan Pablo Bello. Aurora obtained her B.S. in Electrical Engineering and Computer Sciences from U.C. Berkeley in 2015, where she completed the EECS Honors program with a focus in Music/Audio. In 2017, Aurora started her graduate studies in Electrical and Computer Engineering in the Master’s program at New York University as a Samuel Morse Fellow, before transferring to the PhD program in 2018. Her interests lie in the intersection of machine learning and audio signal processing in the context of machine listening and music information retrieval. Her current research focuses mainly on audio source classification as part of the SONYC and BirdVox projects.