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Lorin Crawford

As seen in: Nature, PLOS, Flipboard, Genome Biology, BioRxiv, Cell Press, The American Journal of Human Genetics, Genome Research
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Articles

Evaluating the role of pretraining dataset size and diversity on single-cell foundation model performance

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By Alan DenAdel, Akshaya Thoutam, Anay Gupta, Andrew W. Navia, Nicolo K Fusi, Srivatsan V. Raghavan, Peter Winter Verified, Lorin Crawford
| Nature Verified
Abstract The success of transformer-based foundation models on natural language and images has motivated their use in single-cell biology. Single-cell foundation models have been trained on increasingly larger transcriptomic datasets, scaling from initial studies with 1 million cells to newer atlases with over 100 million cells. Here we investigate the role of pretraining dataset size and diversity on the performance of single-cell foundation models on both zero-shot and fine-tuned tasks.
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Tackling the complexity of cancer with generative models

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By Ashley Mae Conard, Madeline Hughes, James Hall, Neil Tenenholtz, Eric Zimmermann, Lorin Crawford, Kristen A. Severson
| Cell Press Verified
Keywords Hallmarks of Cancer generative models artificial intelligence multimodal learning Introduction “Ultimately, we anticipate a time when these new [artificial intelligence] methods will be applied to multiple dimensions of cancer prevention and treatment, ranging from analysis of the clonal architecture of normal tissues, to illuminating signs of increased risk, and to the prediction of stem cell plasticity states that lead to drug resistance and poor patient survival.”1 The original...
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Trainable subnetworks reveal insights into structure knowledge organization in protein language models

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By Ria Vinod, Microsoft Research, Lorin Crawford
| PLOS
Loading metrics Open Access Peer-reviewed Research Article ? This is an uncorrected proof. Citation: Vinod R, Amini AP, Crawford L, Yang KK (2026) Trainable subnetworks reveal insights into structure knowledge organization in protein language models. PLoS Comput Biol 22(2): e1013925. https://doi.org/10.1371/journal.pcbi.1013925 Editor: Rachel Kolodny, University of Haifa, ISRAEL Received: July 22, 2025; Accepted: January 19, 2026; Published: February 9, 2026 Copyright: © 2026 Vinod et al.
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