Hi! I'm Paco — a Principal Scientist, Imaging AI at Bristol Myers Squibb, where I work on multi-modal self-supervised learning and generative models for cancer research. I hold a Ph.D. in machine learning applied to bioinformatics from the University of Granada, and I was a Fulbright Scholar and Postdoctoral Researcher at Stanford University.
In my spare time I like to climb, take long hikes, and read a good book!
Granada, Spain · carrilloperezfrancisco at gmail dot com
Experience
Principal Scientist, Imaging AI
Bristol Myers Squibb — Leading generative and self-supervised learning research for precision oncology.
Senior Scientist, Imaging AI
Bristol Myers Squibb — Developed multimodal AI methods for cancer research and digital pathology.
Postdoctoral Researcher
Stanford University — Developing multimodal AI methods for cancer research.
Ph.D. Student
University of Granada — Working in the integration of heterogeneous sources of biological information for cancer classification. Fulbright Scholar at Stanford University.
News
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24/07/2026
New paper published in Nature Communications: A benchmark study of vision and pathology foundation models for computational pathology.
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23/12/2024
New comment published in Nature Biomedical Engineering: Synthetic multimodal data modelling for data imputation.
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14/10/2024
New manuscript published in Nature Communications: Digital profiling of gene expression from histology images with linearized attention.
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21/08/2024
New preprint available in bioArxiv: Towards Digital Quantification of Ploidy from Pan-Cancer Digital Pathology Slides using Deep Learning.
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02/05/2024
Invited talk at the Institute of Data Science and Artificial Intelligence, University of Navarra: video and slides here.
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21/03/2024
New published publication in Nature Biomedical Engineering: Generation of synthetic whole-slide image tiles of tumours from RNA-sequencing data via cascaded diffusion models.
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06/03/2024
New published publication in SoftwareX: SnapperML: A python-based framework to improve machine learning operations.
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29/01/2024
New published publication in Cell Reports Methods: A 3D lung lesion variational autoencoder.
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19/07/2023
New published publication in Cell Reports Methods: Synthetic whole-slide image tile generation with gene expression profile-infused deep generative models.
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12/07/2023
New published publication in Nature Communications: Spatial cellular architecture predicts prognosis in glioblastoma.
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27/06/2023
New published publication in Cancer Imaging: Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection.
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02/06/2023
Invited talk at the Centro Andaluz de Biología del Desarrollo to talk about cross-modal synthetic data generation.
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01/04/2023
Colleagues will be presenting our work at ACCR, you can check abstract here: Prediction of cancer transcriptomes from whole-slide images with Vis-Gene.
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04/03/2023
New published publication in Nature Medicine: A deep-learning algorithm to classify skin lesions from mpox virus infection.
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01/03/2023
Happy to rejoin the Gevaert's lab as a Freelance Postdoctoral Researcher!
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02/12/2022
New published publication in Trends in Molecular Medicine: Imaging genomics: data fusion in uncovering disease heritability.
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10/04/2022
New published publication in the Journal of Personalized Medicine: Machine-Learning-Based Late Fusion on Multi-Omics and Multi-Scale Data for Non-Small-Cell Lung Cancer Diagnosis.
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29/11/2021
New published publication in the Journal of Esthetic and Restorative Dentistry: Applications of artificial intelligence in dentistry: A comprehensive review.
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22/09/2021
New published publication in the BMC Bioinformatics journal: Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion.
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19/04/2021
New published publication in the Computers in Biology and Medicine journal: KnowSeq R-Bioc Package: The Automatic Smart Gene Expression Tool For Retrieving Relevant Biological Knowledge.
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12/04/2021
Honored to become a Fulbright fellow! I will do a twelve-month research collaboration at Stanford University under the supervision of Professor Olivier Gevaert starting October 2021.
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22/03/2021
New published publication in the Journal of Dentistry: Influence of background color on color perception in dentistry.
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19/02/2021
New published publication in the Neural Computing and Applications journal: Deep learning to classify ultra-high-energy cosmic rays by means of PMT signals.
Selected posts [all]
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Multimodal AI foundation models that combine digital pathology + transcriptomics
A tour of cross-modal imputation and representation learning between H&E slides and RNA-Seq — what has been done, and what spatial transcriptomics will bring next.
02/05/2026 -
Do I even know what I am doing? Reflections on the use of AI coding assistants for ML work
AI coding assistants make us more productive — but are they also dulling our engineering skills? Some personal reflections.
26/04/2026
Where have you been?
places I've visited