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Hi there πŸ‘‹

elnazkarami

Welcome to my GitHub repository! This is a personal hub where I share my projects, experiments, and interests in neuroscience, data science, bio-inspired design, etc.


🧠 About Me

I’m Elnaz Alikarami, a Neuroscience Researcher & Data Enthusiast, with a strong interest in computational neuroscience. I previously worked on human brain imaging and now focus on data management and research coordination in neuroscience labs. I enjoy bridging experimental and computational approaches, building efficient systems for scientific data, and exploring how smart data practices can accelerate discovery in brain research.


πŸ˜„ Pronouns:

She/her


πŸ“ Projects

🧠 Human Brain Imaging Scripts β€” Scripts and notebooks from my past work in fMRI and cognitive neuroscience (to be uploaded soon).

πŸ“Š Data Management Systems β€” Organizing and maintaining efficient, accessible systems for collaborative research labs. πŸ“Š Data harmonization and reproducibility in multi-lab settings

πŸš€ Highlights

🧩 Background in human neuroimaging (fMRI, behavior, cognition)

πŸ’‘ Current work: Research/data administration + data wrangling in neuroscience labs

🧠 Interested in computational models of the brain, open science, and bio-inspired systems


πŸ”§ Tech Stack

  • Python, Jupyter, Pandas, Matplotlib, Seaborn
  • Git, GitHub, Markdown
  • SQL
  • R, MATLAB

πŸ“ To-Do List

  • document the data management and automation work
  • publication of the proposed data structure for neurodata
  • Add blog-style write-ups for selected projects
  • Clean and annotate code for biomimetic modeling project
  • Integrate interactive visualizations (e.g., with Plotly or Bokeh)
  • Upload clean versions of fMRI preprocessing and analysis notebooks
  • Document Pynapple-related workflows I use internally
  • Build a personal landing page using GitHub Pages
  • Learn more about automated data pipelines with Python and Airflow

πŸ”­ I’m currently working on ...

Neuroscience projects involving open-source tools, data visualization, or computational modeling

Building shared infrastructures for data sharing and reproducibility in science

use of LLM and foundation models in large-scale neural data abalysis

neurofoundation models

learing more and more about AI

--

πŸ’¬ Ask me about ...

Running a research lab like a startup πŸš€

Brain imaging, cognitive neuroscience, and behavioral data

Research tools and how to streamline team workflows with tech

User experience in software, pipelines, etc

🀝 πŸ“« Let's Connect

Feel free to check out my work and reach out!


"Still mapping neurons, just with different tools. From fMRI to file systemsβ€”curiosity leads the way." "I used to scan brains. Now I organize data. Same goal: make sense of the noise."

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