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IsharaP/README.md

Hi! I'm Ishara 👋

🧑‍💻 Scientist at CSIRO Health & Biosecurity | Australian e-Health Research Centre
🎓 PhD in Electrical & Computer Systems Engineering (Biomedical Engineering)
💡 Interested in Medical Imaging, Computer Vision, NeuroTech, Applied AI/ML & Data Analytics

📍 Based in Melbourne, Australia

✨ About me

  • 🤖 Applied AI/ML Computer Vision Engineer with 8+ years of experience working across medical imaging, computer‑vision‑based robotics and automation, and neurotechnology, delivering end‑to‑end intelligent solutions from data to deployment.

  • 📈 Proven ability to deliver solutions from prototypes to scalable and reproducible pipelines, ensuring models and analytics are robust, well‑validated, and ready for reliable real‑world use.

  • 🧠 My current work focuses on developing AI‑driven quantitative PET/MR biomarkers that support early diagnosis, treatment monitoring, and evidence‑based clinical decision‑making in Alzheimer’s disease.

  • 🚀 To learn more about my work, check out my resume and Google Scholar profile.

🧰 Tech stack

Programming languages & tools:

Frameworks & libraries:

Pandas NumPy SciPy Matplotlib Plotly OpenCV TensorFlow PyTorch Scikit-learn

📫 Get in touch

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  1. DeepSUVR DeepSUVR Public

    Forked from csiro/DeepSUVR

    DeepLearning-based quantification of PET images

    Python

  2. monai-notebooks monai-notebooks Public

    Forked from Project-MONAI/tutorials

    MONAI Tutorials - Registration. Segmentation & Classification of Medical Images using DL

    Jupyter Notebook

  3. monai-on-aws monai-on-aws Public

    Forked from aws-samples/monai-on-aws-workshop

    Example of Deploying MONAI Medical Imaging Algorithms on AWS

    Jupyter Notebook

  4. pytorch-lightning pytorch-lightning Public

    Forked from Lightning-AI/pytorch-lightning

    Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

    Python

  5. mne-bids mne-bids Public

    Forked from mne-tools/mne-bids

    MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.

    Python

  6. mne-nirs mne-nirs Public

    Forked from mne-tools/mne-nirs

    Process Near-Infrared Spectroscopy Data in MNE

    Python