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researcher

V. Mulligan

5 papers hereh-index 265.7k citations81 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.ET2
  • quant-ph1

identity via Semantic Scholar / OpenAlex

most citedMIMIC: A Generative Multimodal Foundation Model for Biomolecules

1 citations · 1 across the 5 of their papers we have counts for

collaborators
Showing cs.AIShow all

2 papers · 1 filter

cs.AI2026

Protein Design with Agent Rosetta: A Case Study for Specialized Scientific Agents

Jacopo Teneggi, S. M. Bargeen A. Turzo, Tanya Marwah +4

Large language models (LLMs) are capable of emulating reasoning and using tools, creating opportunities for autonomous agents that execute complex scientific tasks. Protein design…

cs.AI2026★ 1 cited

MIMIC: A Generative Multimodal Foundation Model for Biomolecules

Siavash Golkar, Jake Kovalic, Irina Espejo Morales +28

Biological function emerges from coupled constraints across sequence, structure, regulation, evolution, and cellular context, yet most foundation models in biology are trained with…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.