Aurora Cramer (she/they) is currently a Ph.D. Candidate studying Electrical and Computer Engineering at New York University, under the direction of Professor Juan Pablo Bello. Her research interests lie in the intersection of machine learning and audio signal processing in environmental and domestic settings. This research is primarily focused on effectively training machine listening models using small labeled audio datasets or large unlabeled audio datasets by exploiting structure in the data.
Before joining MARL, Aurora obtained her B.S. with Honors in Electrical Engineering and Computer Sciences from U.C. Berkeley in 2015. In 2017, she started her graduate studies as an ECE Masters student and Samuel Morse Fellow at NYU Tandon, before transferring to the Ph.D. program in 2018. She also worked as an audio research engineer at Gracenote, and has been an intern at companies such as Mitsubishi Electric Research Laboratories, NVIDIA, and BlueJeans Network. Outside of research, she enjoys playing piano and percussion, noodling with synthesizers, and playing obscure rhythm games.