Author

Ali Faraj

Ginkgo Bioworks, Inc. (United States)Primary ORCID profile (0000-0002-7440-9904 · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Ali FarajiD2 papers · Fractionnation of AgroResources and Environment

Biology Disciplines

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Biophysics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Aanal BhattiD· 1 shared Adam RosenbaumiD· 1 shared Alexander SmithiD· 1 shared Ammar ArsiwalaiD· 1 shared Anisha Nandy· 1 shared Ayla ErgüniD· 1 shared Berk Tural· 1 shared David W. BorhaniiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBiophysics

Aanal BhattORCID

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1 paper

Recent·Most cited

A high-throughput platform for biophysical antibody developability assessment to enable AI/ML model training

Ammar Arsiwala, Rebecca Bhatt, Lood van Niekerk, Porfirio Quintero-Cadena, Xiang Ao, Adam Rosenbaum, Aanal Bhatt, Alexander Smith, Yaoyu Yang, KC Anderson, Lucía Daniela Grippo, Xing Cao, Rich Cohen, Jay Patel, Joshua Moller, , David W. Borhani

The paper introduces a high-throughput platform to generate large datasets for training machine learning models to predict antibody developability properties.

mAbs · Dec 2, 2025Peer-reviewedBiophysics