Published multiple papers in various international conferences such as WASPAA, CVPR, ICCV, SIGGRAPH Spatial Storytelling, ICASSP, ECCV, etc. One of her papers, 'Towards the Prediction of Perceived Room Acoustical Similarity' (2022), won the Best Student Paper award.
Research Experience
Works as a Research Scientist on the Meta Reality Labs Research Audio Team, focusing on machine learning applications in room acoustics, spatial audio, auditory perception, and behavior and communication understanding in conversations.
Education
Completed her Bachelors from MIT in 2015, Masters from MIT in 2016, and PhD from the MIT Media Lab in 2021, advised by Prof. Joe Paradiso. She was supported by the NSF Graduate Research Fellowship (2016-2019) and the Apple AI/ ML Fellowship (2020-2022).
Background
Machine Learning and Audio Research Scientist. Works on the Meta Reality Labs Research Audio Team, focusing on machine learning applied to problems in room acoustics, spatial audio, auditory perception, and behavior and communication understanding in conversations. Her research interests lie at the intersection of machine learning, signal processing, cognition, and audio.
Miscellany
Enjoys singing, playing instruments, and writing. While at MIT, she also enjoyed DJ-ing at the WMBR radio station.