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pacocp/README.md

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Hi there, I'm Paco! 👋.

  • 🎓 PhD. in Machine Learning applied to bioinformatics. Nowadays, Senior Scientist, Imaging AI at Bristol Myers Squibb.
  • 🎓 During 2021/2022 I was a Visiting Student Researcher at Stanford University with a Fulbright Scholarship under the supervision of Prof. Olivier Gevaert.
  • 🧬 My main area of research is using machine learning techniques for biomedical data. Working on multi-scale and multi-omics analysis for cancer classification.
  • 💻 Before starting my Ph.D., I worked as a Data Scientist and Backend Engineer at an e-Health startup.
  • 🌐 You can find my academic work here: ResearchGate, Google Scholar.
  • 🐦 Contact me through email (carrilloperezfrancisco@gmail.com, fcperez@stanford.edu)!

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  1. gevaertlab/RNA-GAN gevaertlab/RNA-GAN Public

    Synthetic whole-slide imaging tile generation with gene expression profiles infused deep generative models - Cell Reports Methods

    Python 14 2

  2. WSI-Pancreas-Classification WSI-Pancreas-Classification Public

    Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection - Cancer Imaging

    Python 9

  3. multiomic-fusion-NSCLC multiomic-fusion-NSCLC Public

    Machine-Learning-Based Late Fusion on Multi-Omics and Multi-Scale Data for Non-Small-Cell Lung Cancer Diagnosis - Journal of Personalized Medicine

    Jupyter Notebook 3

  4. NSCLC-multimodal-classification NSCLC-multimodal-classification Public

    Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion - BMC Bioinformatics

    Python 7

  5. deep-learning-UHECR-PMT-signals deep-learning-UHECR-PMT-signals Public

    Deep learning to classify ultra-high-energy cosmic rays by means of PMT signals - Neural Computing and Applications

    Python 1

  6. gevaertlab/sequoia-pub gevaertlab/sequoia-pub Public

    SEQUOIA: Digital profiling of cancer transcriptomes with grouped vision attention

    Python 6