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I got my PhD in physics back in 2012, after doing my dissertation in spin dependent transport phenomena in magnetic materials.

got a job at Intel as a back end process engineer, which was pretty cool, but I was then laid off in 2015.

These days I'm all about machine learning. Teaching myself by creating content, and hopefully educating others. It's been really cool seeing the overlap in some concepts (systems seeking minimum energy vs. gradient descent) between ML and physics, and I'm hoping my background will pay dividends as I get deeper into the field.



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