Chandrasekar
Subramani Narayan
I build physics‑aware AI systems for microscopy and spectroscopy — from pixels to principles.
Current Focus
- • Density‑map U‑Nets for phage counting (TIRF).
- • Raman/FTIR + ML for edible oil quality.
- • Digital pathology: segmentation & detection.
About
PhD in Biophysics (Aix–Marseille). I design interpretable, end‑to‑end pipelines that combine classical analysis, deep learning, and physical validation. I care about clarity, reproducibility, and design — because scientific work should be as legible as it is rigorous.
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Location
Marseille, France · Open to global collaboration
Research Interests
Physics‑Aware Vision
Counting, density maps, and kinetics with Poisson/Langmuir checks.
Spectral ML
Raman/FTIR pipelines for quality monitoring and interpretable classification.
Reproducible Science
HPC‑ready workflows, FAIR data, automation and audits.
Projects
Propose collaboration →Publications
Blog
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News
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Curriculum Vitae
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Contact
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