Published papers including 'Unsupervised animal vocalization denoising' and 'Interspeech2024', and explored the issue of unfairness in machine learning for juvenile criminal recidivism prediction.
Research Experience
Senior AI Research Scientist at Earth Species Project. Involved in interdisciplinary projects such as HUMAINT, Shake-it, and PHENICX.
Background
Research interests span a diverse range of topics: machine learning, signal processing, fairness and explainability of machine learning models, music information retrieval. Participated in interdisciplinary projects.
Miscellany
Committed to the principles of research reproducibility. Most of the code is made available through GitHub, along with links to the dataset and instructions on how to replicate experiments.