PhD candidate working on algorithms, probabilistic models and machine learning for immune receptor sequences (BCR and TCR repertoires).
Main projects
- AlignAIR: deep-learning aligner for immunoglobulin and T-cell receptor sequences. Allele calls, segment boundaries and the junction from a single model. Nucleic Acids Research, 2025
- GenAIRR: simulator of adaptive immune receptor sequences with full ground-truth annotations, across 23 species. Briefings in Bioinformatics, 2024
- LZGraphs: compression-based graph models of immune repertoires for generation probability and diversity, without sequence alignment. Bioinformatics, 2023
Website · Google Scholar · ORCID · CV (PDF)




