Luciana Ferrer

Luciana Ferrer is a Senior Researcher at the Computer Science Institute, affiliated with the University of Buenos Aires (UBA) and the National Scientific and Technical Research Council (CONICET) in Argentina. She earned her Ph.D. in Electronic Engineering from Stanford University (2009) and her Electronic Engineering degree from UBA (2001).

• Institution: University of Buenos Aires
• Research Institute: Computer Science Institute, UBA-CONICET

Her research focuses on machine learning applied to speech and audio processing, including:

• Calibration of classification systems
• Speaker and language recognition
• Evaluation of bias and fairness
• Pronunciation scoring
• Mental state detection
• Audio representation learning
• Natural language processing

She leads a team of researchers working on diverse speech processing tasks like emotion/personality recognition, neurological disorder detection, and universal audio representation. Her work emphasizes robustness to domain mismatch and score calibration.

Luciana has received multiple prestigious awards and grants, including:

• Amazon Research Awards (2023, 2020)
• Google Faculty Research Awards (2020, 2018)
• National Science Foundation Doctoral Fellowship (2007)
• JP Morgan Faculty Research Award (2023)

She has over 170 publications with more than 7700 citations. As a board member of the International Speech Communication Association (ISCA) and Technical Program Chair of Interspeech 2024, she actively contributes to the academic community. She has also been an invited speaker at international events like Khipu AI meetings (2019, 2023), ASRU 2021, and Odyssey 2020.