Author

Pierre Llompart

ORCID 0000-0002-7751-9893Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Research Focus:perturbation response prediction· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Alessandro TiboiD· 1 shared Helen LaiiD· 1 shared Levent GüneriD· 1 shared Yijie Xu· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 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 paperBioinformatics

Alessandro TiboORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintOct 6, 2026

From Benchmark to Bench: Can Agents Survive Real-World Drug Discovery?

Pierre Llompart, Levent Güner, Helen Lai…·Yijie Xu

The paper evaluates an agentic system for drug discovery, finding that its performance depends on predictive models rather than generation methods, and that outputs are indistinguishable from expert work.

DOI 10.64898/2026.09.30.755603

machine learning (classical)experimental assay

𝕏 PostBluesky