Leandro A. Bugnon

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 am an Associate Researcher at sinc(i)/UNL – CONICET, and an Associate Professor at the National University of the Litoral and Austral University. I also collaborate with The Cell Company on applied bioinformatics projects.

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2026-04 [visit] BioComputingUP @ Università di Padova (IDPfun2)Research visit to the BioComputingUP group within the IDPfun2 project: computational characterisation of linkers in intrinsically disordered proteins. 2025-12 [appointment] Profesor Adjunto (by competitive examination) · UNLTeaching appointment won by competitive examination at Universidad Nacional del Litoral, covering undergraduate and graduate engineering courses. 2025-12 [promotion] Associate Researcher · CONICETPromotion within CONICET's scientific research career track, based at sinc(i) (UNL–CONICET). 2025-10 [award] ANCEFN incentive award · Engineering SciencesAward from Argentina's National Academy of Exact, Physical and Natural Sciences for researchers under 40, in the Engineering Sciences area. 2025-04 [phd] B. Breggia + G. Kulemeyer start their PhD thesesB. Breggia works on end-to-end representation learning for sequential data; G. Kulemeyer, on generative models for joint sequence and structure representations. Both PhD theses at UNL.

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