Elena Georgieva is a music technology PhD candidate at New York University's Music and Audio Research Lab (MARL), advised by Dr. Brian McFee and Dr. Pablo Ripollés. Her research focuses on analyzing singing voice recordings using music information retrieval techniques, machine listening techniques, and user studies. Elena has presented her work at the annual ISMIR, WASPAA, ICML, and NIME conferences, and has been invited to speak at several universities and Silicon Valley tech companies. In 2022, she did an internship in acoustics at Apple.
Elena teaches concert recording at NYU. Before coming to NYU, Elena taught sound recording at Stanford's Center for Computer Research in Music and Acoustics (CCRMA), where she received her Masters degree in 2019. At Stanford, Elena also did hit song science and neuroimaging research, performed computer music with the Stanford Laptop Orchestra, and was heavily involved in the a cappella singing community, recording and doing live sound for a variety of vocal groups. Elena also holds a Bachelor of Science degree from UCLA in Cognitive Science.
In New York City, Elena is a live sound engineer at a music/comedy venue in Brooklyn and performs with various vocal groups, currently in The Sirens of Gotham and Yasna Voices Bulgarian choir.
Courses Teaching
Concert Recording MPATE-UE 1011
Concert Recording MPATE-GE 2611