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👋 Hi, I’m Chandrasekar Subramani Narayana

Biophysics • Biomedical AI • Spectroscopy • Computer Vision

  • 🎓 PhD in Biophysics, Aix–Marseille University Deep learning for microscopy-based counting and binding kinetics
  • 🔬 Working at the intersection of AI, microscopy, and spectroscopy
  • 🧠 Interested in Biomedical Image Analysis, Raman/FTIR ML, ML - Food Science, U-Nets, Computer Vision, and Physics-based ML
  • 🧪 Affiliated with LAI (Inserm/CNRS) & LIS (QARMA Team)
  • 💼 Looking for Postdoc / Research Engineer / Data Scientist roles
  • 📫 Reach me: chandrasekarnarayana@gmail.com

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  1. Hotspot_detection_in_Yeast_Cell_Model-Image_Processing Hotspot_detection_in_Yeast_Cell_Model-Image_Processing Public

    Yeast cell act models to study neurodegenerative diseases like Alzheimer's disease, Parkinson's disease, Huntington's disease etc. They have been strongly correlated to unregulated amyloidosis. The…

    Jupyter Notebook 2

  2. Modeling-GUI Modeling-GUI Public

    Modeling-GUI: A PyQt5-based graphical interface for running statistical and machine learning models with customizable parameters and visualizations.

    Python 2 1

  3. CSV_VIZ CSV_VIZ Public

    A CSV visualization tool with Seaborn plots and GUI using PyQt5

    Python

  4. foodspec foodspec Public

    Headless, research-grade Python toolkit for Raman and FTIR spectroscopy in food science.

    Python 1

  5. multi_modal_food_processing multi_modal_food_processing Public

    Python

  6. Phage_annotation_tool Phage_annotation_tool Public

    Python