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 Submission deadline: September 06, 2025.

Submission website: https://openreview.net/group?id=NeurIPS.cc/2025/Workshop/FM4LS

 
This workshop aims to bring together researchers working at the intersection of multi-modal learning, foundation models, LLMs, and life sciences to discuss recent advancements, explore methodological innovations, and identify key challenges in designing multi-modal foundation models and LLMs for biological data. The topics include but are not limited to:

• Multi-modal foundation models for learning representations of proteins, DNAs, RNAs, transcriptomic data, metabolomic data, and other biological modalities.
• Multi-modal LLMs for predicting the functions of proteins, DNAs, RNAs, and other biomolecules.
• Multi-modal foundation models for learning joint representations of multi-omics data.
• Multi-modal generative models for designing proteins, DNAs, RNAs, and other biomolecules.
• Applications of multi-modal foundation models and LLMs in drug discovery, precision medicine, personalized treatment, and beyond.
• Interpretability and robustness in biological multi-modal foundation models and LLMs.

The workshop is featured with a stellar lineup of invited speakers, including:

• Ziv Bar-Joseph, Professor at Carnegie Mellon University and Chief Scientific Officer at GenBio AI
• Charlotte Bunne, Assistant Professor, Swiss Federal Technology Institute of Lausanne (EPFL)
• Simona Cristea, Research Scientist, Dana-Farber Cancer Institute and Harvard University
• Stefano Ermon, Associate Professor, Stanford University
• Quanquan Gu, Associate Professor at University of California Los Angeles
• Nilah Ioannidis, Assistant Professor, University of California, Berkeley
• Emma Lundberg, Associate Professor, Stanford University
• Caroline Uhler, Professor, MIT
• Eric Xing, Professor, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) and Carnegie Mellon University

The workshop is organized by:

• Pengtao Xie, Associate Professor, University of California San Diego
• James Zou, Associate Professor, Stanford University
• Le Song, CTO of GenBio AI and Professor at MBZUAI
• Ruishan Liu, Assistant Professor, University of Southern California
• Li Zhang, PhD student, University of California San Diego
• Aidong Zhang, Professor, University of Virginia
• Eran Segal, Professor, Weizmann Institute of Science
• Wei Wang, Professor, University of California, Los Angeles

Workshop website: https://nips2025fm4ls.github.io/
Contact: nips2025.fm4ls@gmail.com

Best,

Pengtao

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Pengtao Xie

Associate Professor

Department of Electrical and Computer Engineering

Halıcıoğlu Data Science Institute in the School of Computing, Information and Data Sciences (affiliate)

Department of Medicine, School of Medicine (adjunct)

Department of Molecular Biology, School of Biological Sciences (affiliate) 

Department of Bioengineering (affiliate) 

Skaggs School of Pharmacy and Pharmaceutical Sciences (affiliate) 

University of California San Diego

https://pengtaoxie.github.io/