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kiarashfa/README.md

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🧬 I'm Kia

A molecule feeding a neural network that predicts a material property

I live a bit of a double life. By day I'm a scientist bringing machine learning to the polymer world, the kind of work that runs on Python, lab data, papers, and conference talks. After hours I switch into builder mode and make the things I wish existed: small, free, open-source web apps, created for the pure joy of building and the habit of always learning something new, with no roadmap and nothing expected in return.



A molecule feeding a neural network that predicts a material property

  🎓  Ph.D. in Polymer Science & Engineering, POLYMAT (UPV/EHU)
  🔬  Machine learning for polymer reaction engineering (emulsion polymerization)
  🐍  Python for modeling, simulation, and data across chemistry and materials
  💻  Free, open-source web apps, built purely for the craft



Gmail LinkedIn ResearchGate Google Scholar ORCID Telegram Website


🚀 Explore my work

From polymer tools to playful, educational web apps, all of my projects live in one place.
If something catches your eye, come take a look.

Browse all projects at kiarashfa.github.io

Things I make are free and always will be.
But any donation is greatly appreciated.

Donate with PayPal   Buy me a coffee


Kiarash's GitHub contributions over the last year

Profile last updated Visitors

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  1. NatLabRockies/m2p NatLabRockies/m2p Public

    Python 37 23

  2. PolymatGIQ/ANN_reactivity_ratios PolymatGIQ/ANN_reactivity_ratios Public

    ANN for reactivity ratios in FRP

    Python 4 4

  3. PolymatGIQ/PCINN PolymatGIQ/PCINN Public

    ANN for data-driven modelling of polymerization processes

    Python 4 2

  4. PolymatGIQ/biobased PolymatGIQ/biobased Public

    ML models and selector tool for bio-based monomer replacement

    Python 1