Author

Yolaine Pierre

Ginkgo Bioworks, Inc. (United States)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Assay:proteomics· 2 Research Focus:benchmarking· 1 Research Focus:protein design· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Aanal BhattiD· 2 shared Alexander SmithiD· 2 shared Ammar ArsiwalaiD· 2 shared Blake Harris· 2 shared David W. BorhaniiD· 2 shared Joshua MolleriD· 2 shared Laura M. Rand· 2 shared Lucía Daniela GrippoiD· 2 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBiophysics

Aanal BhattORCID

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintAug 21, 2026

Predicting VHH-Fc Developability from Large-Scale IgG Data

Joshua Moller, Seth Ritter, Laura M. Rand…·Ammar Arsiwala

The paper introduces a dataset of VHH-Fc antibodies and shows that IgG-trained models outperform VHH-Fc-specific models in predicting developability properties.

DOI 10.64898/2026.08.18.745296

proteomicsdeep learning

𝕏 PostBluesky

BiophysicsbioRxivPreprintJun 19, 2026

Decoding Bispecific Antibody Developability: Design Rules and Predictive Models from a 160-Member Library

Seth Ritter, Laura M. Rand, Sai Karthick…·Ammar Arsiwala

This paper analyzes 160 bispecific antibodies and their parental arms to identify developability inheritance patterns and predictive models for bispecific antibody design.

1 citation

proteomicsdeep learning

𝕏 PostBluesky