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DrMohamedElsherif/README.md

👨⚕️ Dr. Mohamed Elsherif | Neurosurgeon & Medical Informatician

Healing Through Scalpels and Algorithms 🧠⚡💻

🚀 Professional Journey (Key Stations only)

  • 🏥 Neurosurgeon:

    • Trauma surgery
    • Brain tumor resection (Gliomas, Meningiomas)
    • Peripheral nerve reconstruction
    • Deep brain stimulation
  • 🎓 Education:

    • MSc Medical Informatics (Current), University of Tübingen, Germany
    • MSc Translational Medical Research, University of Heidelberg, Germany
    • MBBCh Medicine and Surgery, University of Tanta, Egypt
  • 💼 Roles:

    • Praktikant and Hiwi (within Master thesis work) @ DKFZ-Heidelberg (Current), Germany
    • Assistant Medical Informatics (untill 30.11.2025) @ Robert Bosch Krankenhaus, Germany
    • Former Neurosurgical Research Fellow @ Mayo Clinic, USA
    • Former Neurosurgical Resident Doctor @ Tanta University Hospital, Egypt

🔥 Core Informatics Expertise

Since this is a programmer's platform, I list only informatics-related skills and ignore neurosurgical ones for now.

Clinical Informatics

  • DICOM/HL7/FHIR standards
  • OMOP Common Data Model

Neuroinformatics

  • Structural & Quantitative MRI analysis (3D Slicer, FSL, MITK)
  • Functional connectivity (fMRI, EEG)
  • EEG signal processing

Data Science

  • Python (PyTorch, Tensorflow, MONAI)
  • R (Clinical statistics)
  • SQL (Clinical databases)

🛠️ Technical Stack

Languages & Bioinformatics Tools
R Java Python SQL Bash C++

Medical Imaging
3D Slicer FSL ITK-SNAP

Clinical IT
FHIR OpenEHR

⚡ Fun Facts

  • "Performed 900+ neurosurgical brain, spine and peripheral nerve surgeries before writing my first Python script"
  • "Building Shiny Apps for EDC in clinical setting & AI models that speak both doctor and programmer"

📫 Collaboration Opportunities

I'm particularly interested in the following research areas/topics:

  • Computational Neuroimaging analysis pipelines
  • Brain-Computer Interfaces
  • Operation Room (OR)-to-EMR automation (NLP in medical domain)
  • Databases for clinics and clinical Research
  • Clinical Decision Support Systems

LinkedIn Email

📊 GitHub Metrics

GitHub Stats

Profile Views

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  1. SSL-MIMeta-CTscan SSL-MIMeta-CTscan Public

    Comparative study of Barlow Twins self-supervised pre-training vs. ImageNet fine-tuning for medical image analysis across CT and histology domains

    Python 1

  2. NeuroMatch2024-fMRI-AnalysisProject NeuroMatch2024-fMRI-AnalysisProject Public

    Jupyter Notebook 1

  3. NeuroHackademy2024_CT-Brain-Imaging-Classification NeuroHackademy2024_CT-Brain-Imaging-Classification Public

    NeuroHackademy- My Tutorial on CT Imaging Classification using Artificial Neural Networks hosted on NeuroNest

    Jupyter Notebook 1

  4. BCI-BR41N.IO_2025_SSVEP-simulation-GUI BCI-BR41N.IO_2025_SSVEP-simulation-GUI Public

    This work was done as a part of the BCI Hackathon 2025. A comprehensive toolset for SSVEP (Steady-State Visual Evoked Potential) EEG data analysis, classification, & visualization. This application…

    Jupyter Notebook 1

  5. MRI-Brain-Tumor-Classification-Models MRI-Brain-Tumor-Classification-Models Public

    Jupyter Notebook

  6. Neural-Data-Science2024--UniTuebingen Neural-Data-Science2024--UniTuebingen Public

    RNA-Seq Clustering and EEG Signal Processing and Analysis Tasks

    Jupyter Notebook 1