Currently attending high school in Seattle. Interested in deep learning, data science, and bioinformatics.
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🔭 I’m currently working on Molecumixer, a project which uses graph neural networks to generate, and analyze the properties of bioactive molecules.
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🌱 I’m currently learning cellular biology, bioinformatics, omics, R
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💬 Ask me about: graph neural networks, pre-training, underwater robotics, segmentation, data science/analysis, web automation, deep learning, bioinformatics, computer vision
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📫 How to reach me thomasgust@seattleacademy.org
I'm currently in 9th grade attending high school in Seattle. I learned how to code during all of my free time during the pandemic. I haven't used GitHub nearly as much as I should have over the years. A lot of the projects I have completed have pretty much just sat on my local computer. Over the next few weeks, I am going to attempt to upload a bunch of these projects to different repositories and work on my code documentation and structure. I aim to use GitHub a lot more in the future! Hopefully some of the stats you see below will improve a little after I add more stuff here. I will also link my accounts on other platforms and socials after they are a bit more fleshed out. In the mean time, if you want to get in touch with me, feel free to use the email below! My apologies for any terrible README's or code documentation, I will try to fix this soon.
The programming breakdown above is a little misleading. I primarily program in python. When I was learning Javascript however, I dealt with a project which involved editing the source of a large Javascript library, which makes it look like I have written way more Javascript than I actually have.