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simahashemi/README.md

👋 Hi, I'm Sima

🎓 MSc in Physics | 🧠 Computational Neuroscience 📍 Based in Heidelberg, 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 to apply data-driven methods in health-related research.

🛠️ 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 4 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