Anabella Isaro

I'm a Ph.D. student in the Department of Computer Science at UIUC, advised by Prof. Minje Kim. My research focuses on audio and speech artificial intelligence, particularly efficient representation learning and generative modeling for audio. I am interested in developing machine learning approaches that improve the efficiency, robustness, and scalability of AI systems for audio understanding and generation. I am grateful to be supported by the U.S. National Science Foundation’s (NSF) Computer and Information Science and Engineering (CISE) Graduate Fellowship.

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aisaro2 [at] illinois [dot] edu

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Selected Publications

Moodable: On feasibility of instantaneous depression assessment using machine learning on voice samples with retrospectively harvested smartphone and social media data
Ada Dogrucu, Alex Perucic, Anabella Isaro, Damon Ball, Ermal Toto, Elke A Rundensteiner, Emmanuel Agu, Rachel Davis-Martin, Edwin Boudreaux
Smart Health, 2020
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