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On leave until Mar 10th
🫥
On leave until Mar 10th

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@sparks-baird @AccelerationConsortium

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sgbaird/README.md

Hi there 👋

Currently, I direct the training programs at Acceleration Consortium (AC) including the AC Training Lab, AC Microcourses, workshops, AC Hackathons, seminars, and outreach. Here, I help build solutions for deployment to the AC's core labs (~30 full-time staff scientists) and the broader ecosystem.

I obtained my Ph.D. in Materials Science and Engineering from the University of Utah in 2023 in Dr. Taylor Sparks' materials informatics group, where I used machine learning to discover new materials for energy and structural applications. I obtained my M.Sc. in Mechanical Engineering from Brigham Young University in 2021, where I conducted hydrogen diffusivity experiments in metals and developed grain boundary property prediction models. I obtained my B.Sc. in Applied Physics from Brigham Young University in 2018, where I conducted experimental research on lithium-sulfur batteries using structurally modified carbon-nanotubes.

A popular saying that resonates with me is: "give me six hours to chop down a tree and I will spend the first four sharpening the axe." Unlike an axe which dulls with each blow, research skills are often transferable to other "research trees". Eventually, axes are replaced by chainsaws and chainsaws by tigercats, where tasks that once took hours and days now take only minutes and seconds. I've witnessed this as I've invested time in learning hardware and software automation skills and leveraging state-of-the-art algorithms in data science.

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  1. honegumi Public

    Honegumi (骨組み) is an interactive "skeleton code" generator for API tutorials focusing on optimization packages.

    Jupyter Notebook 45 6

  2. AccelerationConsortium/awesome-self-driving-labs Public

    A community-curated list of resources related to self-driving labs which combine hardware automation and artificial intelligence to accelerate scientific discovery.

    TeX 143 22

  3. AccelerationConsortium/ac-microcourses Public

    Microcourses hosted by the Acceleration Consortium for self-driving lab topics.

    Jupyter Notebook 28 3

  4. AccelerationConsortium/ac-training-lab Public

    Codebase for controlling and managing the Acceleration Consortium (AC) Training Lab.

    Python 8 2

  5. sparks-baird/self-driving-lab-demo Public

    Software and instructions for setting up and running a self-driving lab (autonomous experimentation) demo using dimmable RGB LEDs, an 8-channel spectrophotometer, a microcontroller, and an adaptive…

    Jupyter Notebook 75 10

  6. faith-family-science Public

    Repository hosting the content for my views and journey as a member of the Church of Jesus Christ of Latter-day Saints, a husband and father, and a scientist.

    HTML 3

1,927 contributions in the last year

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February 2025

Opened 4 pull requests in 2 repositories
Opened 7 issues in 4 repositories
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    This contribution was made on Feb 27
23 contributions in private repositories Feb 11 – Feb 27
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