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I solve problems creatively.

I tell a story with pictures and words to explain the solution.

I'm fascinated by atoms and chemistry, geometry and calculus, coding and algorithms, and the way human beings work, fail, and flourish.

Materials science:

My goal is to work where chemistry and symmetry, quantum properties, and electromagnetism meet. (Shown: prospective model of an ST1 diamond defect, a room temperature single photon emitter.)


I have years of experience examining, diagnosing, and solving problems in geochemical research and geological consulting. (Shown: inverse distance weighted model of TCE distribution in soil constructed in R.)

Data science:

I process data and information by any and every means, and always have. I specialize in generalism... but particularly in unsupervised learning and letting the data speak to me. (Shown: false color image of Kilauea and environs constructed by PCA on Landsat 8 data.)

Paul's github stats

Design inspiration from Pratik Kumar:


Pinned Loading

  1. Classification of igneous rocks by eon based on major, minor, and trace element chemistry (rather than isotopic signals).

    Jupyter Notebook 2

  2. NLP via CorEx on posts

    Jupyter Notebook

  3. Use PCA and clustering algorithms to classify and segment Hawai'ian landscapes.

    Jupyter Notebook

  4. Calculates linear and volume alphas from dilatometer data (Netzsch DIL-402c) by curve fitting

    Jupyter Notebook

  5. Jupyter Notebook 1

  6. Repisotory for Kaggle Competiton:

    Jupyter Notebook

2 contributions in the last year

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Contribution activity

December 2021

PAGiesting has no activity yet for this period.

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