Author

Massimo Poesio

Queen Mary University of LondonORCID 0000-0001-8469-2072Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 1 Approach:contrastive learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Assay:electronic health records· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Andrea BrueraiD· 1 shared Grant H. Watson· 1 shared Juexi Shao· 1 shared Ke Zhai· 1 shared Siyou Li· 1 shared Yuan LiangiD· 1 shared Yujian GaniD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 15 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperNeuroscience

Andrea BrueraORCID

Author profile →

2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 14, 2026

DNA-LLM2Vec: Architecture-Aware Task-Conditioned Adaptation of Decoder DNA Foundation Models

Yuan Liang, Ke Zhai, Yujian Gan…·Massimo Poesio

DNA-LLM2Vec adapts decoder DNA models to bidirectional context for genomic tasks, improving performance on extended-context tasks but varying by task and backbone.

DOI 10.64898/2026.10.07.757259

DNA methylationwhole-genome sequencing

𝕏 PostBluesky

NeurosciencePLoS ONEPeer-reviewedNov 22, 2024

Family Lexicon: using language models to encode memories of personally familiar and famous people and places in the brain

Andrea Bruera, Massimo Poesio

The paper uses language models to encode semantic representations of personally familiar and famous entities, showing that brain processing can be captured through subject-specific lexical data.

4 citations

humanelectronic health records

𝕏 PostBluesky