Aurora Cramer is a highly skilled ML & Audio Signal Processing Engineer currently working at Zoox, where the focus is on developing audio sensing and perception methods for self-driving vehicles. Previous experience includes roles as an Audio Analysis and Source Separation Research Intern at Mitsubishi Electric Research Laboratories, an Applied Deep Learning Research Intern at NVIDIA, and an Audio Research Engineer at Gracenote, emphasizing contributions to audio classification and processing techniques. Educational qualifications include a PhD in Electrical and Computer Engineering from NYU Tandon School of Engineering and a BS in Electrical Engineering and Computer Sciences from UC Berkeley, where multiple positions as an undergraduate researcher and instructor were held.
This person is not in the org chart
This person is not in any teams
This person is not in any offices