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Rajaeereza/README.md

Hi, I'm Reza Rajaee 👋

Data scientist with a background in physics, working on deep learning and statistical analysis for mass spectrometry data.

🔬 Research Interests

  • Data Analysis & Machine Learning for Mass Spectrometry Data
  • Unsupervised & Self-Supervised Deep Learning
  • Feature Extraction & Representation Learning
  • Statistical Data Analysis
  • Interpretable & Trustworthy Machine Learning

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  1. maldi-msi-deep-clustering-thesis maldi-msi-deep-clustering-thesis Public

    Master thesis — unsupervised deep clustering of MALDI-MSI ion images, University of Padova 2024

  2. maldi-msi-analysis maldi-msi-analysis Public

    A complete end-to-end MALDI-MSI analysis pipeline applied to a public mouse urinary bladder dataset. The pipeline covers raw data loading, spectral preprocessing, unsupervised tissue segmentation, …

    Jupyter Notebook

  3. supervised-tda-maldi-msi supervised-tda-maldi-msi Public

    Supervised topological data analysis for MALDI-MSI data — persistence transformation for spectral feature extraction and classification, applied to public and proprietary clinical datasets.

  4. noise2void-fluorescence-microscopy noise2void-fluorescence-microscopy Public

    Noise2Void self-supervised denoising applied to proprietary fluorescence microscopy data from INT Milan — training directly on single noisy images without clean targets.

  5. domain-shift-uncertainty-medical-imaging domain-shift-uncertainty-medical-imaging Public

    A practical project on detecting and addressing domain shift in medical image classification using uncertainty estimation, entropy-based OOD detection, and domain adaptation.

    Jupyter Notebook

  6. Ensemble-Learning-for-Chest-XRay-Classification Ensemble-Learning-for-Chest-XRay-Classification Public

    Ensemble learning for chest X-ray classification using DenseNet, CovidNet, and Attention ResNet trained from scratch.

    Jupyter Notebook