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  • Basel, Switzerland

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@gatetobrain

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BradleyEdelman/README.md

Brad Edelman, PhD

Biomedical Engineer by Training | Data Scientist and ML Researcher by Practice

  • 📚 12 years of academic research in brain-computer interfaces, neural circuits, and emotion processing
  • 🔬 Co-authored 20+ scientific publications and inventor on 2 patents
  • 🔭 Expertise in signal processing, machine learning, and medical image analysis (EEG, MRI, ultrasound, microscopy, etc.)
  • 🔥 Passionate about using ML to advance healthcare and disease therapeutics
  • 🌱 Currently expanding data science/ML expertise using large multimodal datasets and advanced AI tools
  • 📫 How to reach me: Bjedelma@gmail.com

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  1. Alzheimers-MRI-Classification Alzheimers-MRI-Classification Public

    Deep Learning for Alzheimer’s Detection: Classifying anatomical MRI scans using advanced neural networks.

    Jupyter Notebook

  2. EdgeTrain EdgeTrain Public

    EdgeTrain: An adaptive Python package for optimizing deep learning training parameters on edge devices by monitoring CPU and GPU performance.

    Jupyter Notebook

  3. Raspberry-Pi-Baby-Monitor Raspberry-Pi-Baby-Monitor Public

    DIY Raspberry Pi Baby Monitor: Live video streaming with night vision and manual LED control

    Python

  4. BCI-real-time-neuroimaging BCI-real-time-neuroimaging Public

    Real-time BCI platform used to assess performance of: (1) discrete trial vs continuous pursuit BCI training (2) source (EEG source imaging) vs sensor space decoding (3) continuous robotic arm control

    Python

  5. Brain-wide-correlates-of-emotions Brain-wide-correlates-of-emotions Public

    An investigation into the neural basis of emotion processing in mice using whole-brain functional ultrasound imaging and facial expression

    MATLAB 1

  6. AWS-ML-Training-Automation AWS-ML-Training-Automation Public

    An automated pipeline for GPU-based ML training using AWS EC2 Spot Instances

    Python