Author

Jen DiChiara

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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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:sequence-to-function modeling· 1 Approach:statistical model· 1

Frequent Co-Authors

Alison Hinton· 1 shared Amber N. LeeiD· 1 shared Andrew B. DippeliD· 1 shared Bismark AmofahiD· 1 shared Chacko Chakiath· 1 shared Federico DevalleiD· 1 shared Gilad KaplaniD· 1 shared Lauren Leisen· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Alison Hinton

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Author profile →

1 paper

Recent·Most cited

Predicting Antibody Self-Association with Sequence Structure Fusion Models: The Central Role of CSI-BLI in Early Developability Screening

Shafayat Ahmed, Federico Devalle, Lauren Leisen, Tony Pham, Bismark Amofah, Amber N. Lee, Mark Hutchinson, Chacko Chakiath, Jen DiChiara, Sharfa Farzandh, Madi Kreitz, Alison Hinton, Neil Mody, Andrew B. Dippel, Gilad Kaplan, Maryam Pouryahya

The paper develops a sequence-structure fusion model to predict antibody self-association using CSI-BLI data, achieving high performance in distinguishing high and low self-interacting clones.

mAbs · Jul 8, 2026Peer-reviewedBioinformatics