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simahashemi/README.md

👋 Hi, I'm Sima

🎓 MSc in Physics | 🧠 Computational Neuroscience | 🩺 Aspiring Data Scientist in Health & Medical Imaging
📍 Based in Germany

🧑‍💻 About Me

I've been programming with Python since 2019, starting with university projects and research internships. My academic background is in computational neuroscience, where I focused on modeling both single neurons and neural networks, exploring the learning and memory mechanisms in brain.

Currently, I’m deepening my knowledge in machine learning for medical image computing to apply data-driven methods in health-related research and diagnostics.

🛠️ Tools & Skills

  • Languages: Python, R, SQL, C
  • Libraries & Tools: NumPy, Pandas, SciPy, Matplotlib, Seaborn, PyTorch, scikit-learn, Tensorflow
  • Medical & Neuro Tools: nibabel, pydicom, SimpleITK
  • Domains: Computational Modeling • Medical Image Computing • Health Data Science

📫 Contact

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  1. Single-Cell-Synaptic-Clustering Single-Cell-Synaptic-Clustering Public

    Simulation code for Hashemi, S., and Shafiee, S., and Tetzlaff, C. (2025)."Robust Input Disentanglement Through Dendritic Calcium-Mediated Action Potentials"

    Jupyter Notebook 3 1

  2. CA3-CA1-Network-Learning-Stability CA3-CA1-Network-Learning-Stability Public

    Simulates distinct learning dynamics and synaptic stability, highlighting the role of axon-carrying dendrites (AcD) in memory consolidation under inhibitory conditions.

    Jupyter Notebook

  3. Sleep-Health-and-Lifestyle Sleep-Health-and-Lifestyle Public

    R 1

  4. Quasi_Experimental_methods Quasi_Experimental_methods Public

    Jupyter Notebook 2 1

  5. Contagious-chaos Contagious-chaos Public

    Starting from SIR and SIRS models, this project incorporates seasonality and self-regulation effects into disease dynamics, followed by bootstrapping to analyze uncertainty and confidence intervals…

    Python