Author

Mikel Landajuela

Lawrence Livermore National LaboratoryORCID 0000-0002-4804-6513Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Assay:proteomics· 1

Frequent Co-Authors

Ahmet Can SolakiD· 1 shared Andre R GoncalvesiD· 1 shared Chak Shing LeeiD· 1 shared Conor F. HayesiD· 1 shared Conor HayesiD· 1 shared Daniel FaissoliD· 1 shared Denis Vashchenko· 1 shared Jacob PettitiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 18 mutual co-author links

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1 shared paperBioinformatics

Ahmet Can SolakORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Combinatorial Optimization of Antibody Libraries via Constrained Integer Programming

Conor Hayes, Andre R Goncalves, S. A. Magana-Zook, Jacob Pettit, Ahmet Can Solak, Daniel Faissol, Mikel Landajuela

This paper introduces an integer linear programming method for optimizing antibody libraries by balancing diversity and affinity, showing improved performance over baseline designs.

Adaptive Agents and Multi-Agents Systems · May 24, 2026Peer-reviewedBioinformatics

Autoresearch Discovery of Interpretable Filter Rules for Antibody Binder Classification

Mikel Landajuela

The paper uses an autoresearch loop to develop an interpretable filter rule for antibody binder classification, achieving high ROC-AUC without training data.

bioRxiv · May 19, 2026 · PreprintBioinformatics

Reinforcement Learning for Antibody Sequence Infilling

Chak Shing Lee, Conor F. Hayes, Denis Vashchenko, Mikel Landajuela

This paper introduces a reinforcement learning framework for antibody sequence design that improves biophysical properties using infilling models and online learning strategies.

bioRxiv · Aug 8, 2025 · PreprintBioinformatics