My research goal is to develop AI methods that decode the language of biology, enabling faster drug discovery, better disease diagnostics, and deeper understanding of molecular mechanisms.
I work at the intersection of AI and bioinformatics, with a focus on learning representations of biological sequences, RNA structure prediction, and conditional generative models.
I have made original contributions to R&D projects, with 20 articles published in indexed scientific journals (10 as first or last author, all in Q1), as well as presentations at national and international conferences, scientific-technological developments, and technology transfer to industry.
I served as Principal Investigator on three competitive research projects (CONICET–AWS, PICT, PEIC+ID), and have been actively involved in training highly qualified human resources—supervising undergraduate and master’s theses, research initiation fellowships, and currently five PhD dissertations.
I received the ANCEFN Incentive Award in 2025 and the Balseiro Award 2023 (both young researcher categories), along with other distinctions in international and national competitions (EPIC–ACII 2023, CiTA 2023).
As a university professor, I was part of the team that designed the Artificial Intelligence Engineering program at UNL. I’ve planned and taught undergraduate and graduate courses at several institutions (UNL, Austral University, UNER, UBA, A2B2C), and trained teams in industry-focused programs and companies (Folder, YPF-Tec, Programa Capacitación 4.0 y Economía del Conocimiento).
I was a member of the Scientific Committee of the 2024 Congress of the Argentine Association of Bioinformatics and Computational Biology. I also actively participate in science outreach initiatives (IA@Litoral 2019 and 2023, science fairs and events, high schools, and media).