Summary
Aurora Cramer is a Senior ML and Audio Signal Processing Engineer with 13 years of experience building research-driven audio perception systems, currently advancing audio sensing for autonomous vehicles at Zoox. With a PhD-path at NYU Tandon and a BS from UC Berkeley, she blends rigorous academic training with hands-on engineering across industry research labs including NVIDIA, MERL, and Gracenote. Her work spans source separation, audio inpainting, and music attribute classification—often turning generative and sequence-to-sequence ideas into practical models for real-world audio problems. Based in New York, she pairs curiosity about sound with production-minded system design, and has a habit of exploring cross-disciplinary tools (from AR point-cloud visualization to noise-suppression for video conferencing) that inform her novel approaches to audio perception.
13 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BS), Electrical Engineering and Computer Sciences, Bachelor of Science (BS), Electrical Engineering and Computer Sciences at University of California, Berkeley
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at NYU Tandon School of Engineering