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rociavl/README.md

Hi, I'm Rocío Ávalos 👋

I'm a Biomedical Engineer passionate about applying Artificial Intelligence to solve real-world problems in biomedicine and neuroscience.

Currently developing AI-powered clinical tools and working at the intersection of machine learning, medical imaging, and computational biology.

  • 🔭 I'm currently developing AI systems for automatic segmentation of SEEG electrodes and brain structures in clinical settings
  • 🧬 Exploring generative models for synthetic biomedical data and biomarker discovery
  • 🌱 Learning advanced bioinformatics, biostatistics, and HPC-enabled computational biology
  • 💬 Ask me about machine learning in medical imaging, generative AI, or biomedical data analysis
  • 📫 How to reach me: [email protected]
  • ⚡ Fun fact: I love combining AI with neuroscience to push boundaries in precision medicine!

🧠 Projects at the Intersection of AI & Biomedicine

🔬 SEEG Automatic Segmentation
End-to-end deep learning pipeline for automatic localization of SEEG electrodes in 3D CT scans. Currently deployed at Hospital del Mar's Epilepsy Unit.

🩺 CKD Biomarker Discovery
Machine learning pipeline for chronic kidney disease prediction using clinical biomarkers. Features patient stratification and early detection models.

🧠 3D Brain Mask Segmentation
UNet-based model for extracting accurate brain masks from post-surgical CTs. Integrated into clinical workflows.

🧬 Synthetic Patient Cohort Generation
Exploration of generative models (GANs) for creating synthetic patient cohorts in rare disease research.

📊 Chest X-Ray Pathology Classification
Multi-label deep learning model for detecting pathologies from chest X-rays using transfer learning and clinical evaluation metrics.

🧪 Bioinformatics Pipelines
Exploratory genomics analysis, variant annotation, and sequence alignment pipelines for computational biology research.


🛠️ Tech Stack

AI/ML: PyTorch, TensorFlow, scikit-learn, MONAI
Medical Imaging: 3D Slicer, SimpleITK, NiBabel
Programming: Python, MATLAB, R, SQL
Biocomputing: Bioinformatics tools, HPC clusters, statistical modeling
Generative AI: GANs, VAEs, diffusion models, synthetic data augmentation


🎓 Background

  • BSc Biomedical Engineering @ UPC (Expected 2025)
  • Research Experience: Hospital del Mar Research Institute & UPF Center for Brain and Cognition
  • Certifications: Bioinformatics Specialization (UC San Diego), Advanced English (C1)
  • Upcoming: MSc Bioinformatics & Biostatistics @ UOC-UB

📈 GitHub Stats

Rocío's GitHub stats


🤝 Let's Connect!

I'm always interested in collaborating on projects involving:

  • Generative AI for healthcare
  • Medical image analysis and segmentation
  • Biomarker discovery and patient stratification
  • Synthetic biomedical data generation
  • Computational neuroscience applications

Thanks for stopping by! Feel free to reach out if you want to discuss AI in biomedicine or explore potential collaborations. 😊

Pinned Loading

  1. SEEG_automatic_segmentation SEEG_automatic_segmentation Public

    Python 3

  2. Bioinformatics- Bioinformatics- Public

    Jupyter Notebook

  3. CKD-Biomarker-Discovery CKD-Biomarker-Discovery Public

    Jupyter Notebook

  4. Brain_mask_3D_segmentation_model Brain_mask_3D_segmentation_model Public

    Jupyter Notebook 1

  5. Multi-Label-Classification-of-Pathologies-in-Chest-X-Rays Multi-Label-Classification-of-Pathologies-in-Chest-X-Rays Public

    Jupyter Notebook 1

  6. Synthetic-Patient-Cohort-Generation-for-Rare-Disease-Research Synthetic-Patient-Cohort-Generation-for-Rare-Disease-Research Public

    Jupyter Notebook