Author

Christina Helmling

Genentech

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

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Bioinformatics· 1

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Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Christian N. CunninghamiD· 1 shared Clara FannjiangiD· 1 shared Gabriele ScaliaiD· 1 shared Max W. SheniD· 1 shared Nathan C. FreyiD· 1 shared Nathaniel DiamantiD· 1 shared Raymond Newland· 1 shared Richard BonneauiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Christian N. CunninghamORCID

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1 paper

Recent·Most cited

Deep Evolutionary Fitness Inference for Variant Nomination from Directed Evolution

Max W. Shen, Nathaniel Diamant, Christina Helmling, Raymond Newland, Ziqing Lu, Clara Fannjiang, Simon P. Kelow, Nathan C. Frey, Saeed Saremi, Ryan L. Kelly, Richard Bonneau, Gabriele Scalia, Christian N. Cunningham, Tommaso Biancalani

This paper introduces EVFI and DeepEVFI, machine learning methods that infer variant fitness from directed evolution data, identifying tighter binders missed by conventional approaches.

bioRxiv · Jul 22, 2025 · PreprintBioinformatics