AAAI 2026
Hi, I'm
PhD Student in Computer Science · University of Buenos Aires
Researching Explainable AI (XAI) for multimodal models. Passionate about bridging audio and language understanding.
I'm a PhD student in Computer Science at the University of Buenos Aires (UBA), where I previously graduated with a Licenciatura in Data Science (B.S. + M.Sc. equivalent) with a GPA of 8.9/10.
My research focuses on Explainable AI (XAI) for multimodal models. My thesis explored "Similarity between word representations generated by audio and text models", studying convergence towards universal representations across modalities using metrics like Linear CKA and ASIF with modern architectures (BEATs, EncodecMAE, BERT).
I have published at top-tier venues including AAAI, ACL, and Interspeech, and I'm a recipient of the CONICET Doctoral Fellowship and the IEEE SPS SigMA mentorship award.
University of Buenos Aires · April 2025 – Present
Research Focus: Explainable AI (XAI) for multimodal models
University of Buenos Aires · 2018 – 2024 · GPA 8.9/10
Frederick Jelinek Memorial Summer Workshop on Speech and Language Technologies
Selected to participate in JSALT. Collaborated on the "Advancing Expert-Level Reasoning and Understanding in Large Audio Language Models" team.
Selected for a competitive international research mentorship with Prof. Magdalena Fuentes at NYU. The award includes a travel grant to present the resulting co-authored publication at the IEEE ICASSP conference.
Fully funded competitive fellowship awarded by the National Scientific and Technical Research Council of Argentina for doctoral studies in Computer Science.
Entelai
Designed and implemented a Retrieval Augmented Generation (RAG) system to optimize the creation of medical reports.
Quantit
Developed an audience segmentation using embeddings from large language models (LLMs) to analyze opinions on vaccines. Applied advanced statistical analysis techniques to identify and characterize distinct demographic groups.
Interinstitutional Data Center
Developed a predictive model to identify students at risk of dropping out of school.
Spring School on Deep Learning · 2025 & 2026
Led the local organization for the 2025 and 2026 editions of the Spring School on Deep Learning, facilitating academic activities, logistics, and outreach for participants.
Founded a study group that analyzes and debates academic papers. Organized regular meetings to foster knowledge exchange about industry and academic innovations.
@clubdelpaperAcademic Program Committee for Data Science · UBA · Mar 2025 – Present
Elected graduate representative contributing to binding decisions on curriculum design, program development, and advocacy for alumni interests.