I design machine learning methods that reveal structure and meaning in signals, language, and data.
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My research focuses on computational models that reveal structure and meaning in signals, language, and data. From audio and music to legal text and urban ecology, I design methods that make complex information interpretable across diverse domains. I am always interested in connecting with researchers, practitioners, and organizations who share an interest in building interpretable, data-driven approaches to real-world challenges.
Email: tiagoft1 at insper dot edu dot br