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lambjames18/README.md

Hi, I’m James Lamb (@lambjames18)

Postdoctoral Appointee — Sandia National Laboratories
Materials Science | Automation | Machine Learning / AI

About Me

I am a materials scientist working at the intersection of experimentation, computation, and intelligent automation. My research focuses on accelerating scientific discovery by integrating:

  • Machine learning and AI
  • Laboratory and workflow automation
  • Scientific computing
  • Reproducible research practices

I enjoy building practical tools and pipelines that make research faster, more reliable, and scalable.

Contact

Open to collaboration in materials science, ML/AI, and scientific automation.

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  1. BasicUNET BasicUNET Public

    Python implementation of a basic U-Net for semantic segmentation of images.

    Python 1

  2. PythonImageProcessing-MaterialsScience PythonImageProcessing-MaterialsScience Public

    Example image processing routines for microscopy and microanalysis within materials science.

    Jupyter Notebook

  3. pytribeam pytribeam Public

    Forked from sandialabs/pytribeam

    Automated data collection for the TriBeam microscope

    Python

  4. EBSD-Correction EBSD-Correction Public

    Python 4 2