Ask HN: Theory to industry: where do academics fit in?

[doubledamio]

I'm a young researcher with a background in abstract physics and mathematics, specializing in areas like probability theory, spectral analysis, network theory, and statistical/quantum mechanics.

I'm considering transitioning to industry, but my coding experience is limited to basic Python. I’m concerned that, with a strong theoretical background but limited engineering skills, I might struggle to find a good fit. Additionally, with the tightening job market, the abundance of remote talent, and the rise of tools like Copilot, I’m wondering how these factors might impact my prospects.

For those who’ve made a similar transition—or who have hired people with this kind of background—how did it go? What roles or paths have worked best for you?

[bell-cot]

Question: Are you assuming that "transitioning to industry" means writing code?

Observation: Your background sounds fairly similar to that of Richard Feynman. Who was famously involved in the design of the https://en.wikipedia.org/wiki/Connection_machine . (Also - https://longnow.org/essays/richard-feynman-connection-machin... )

[doubledamio]

I intentionally left "transitioning to industry" vague, but yes—most paths would likely involve some coding.

I'm actually working on path integrals, to which Feynman contributed significantly, but I hadn't heard about the Connection Machine! Thanks

[gus_massa]

I can't guaranty it helps, but learn more python ans "pandas".

[doubledamio]

Thanks! I'm definitely planning to refresh my Python skills by building a small portfolio. I’ve also been considering learning the basics of Rust, but I think I should settle on a clear direction first.

[revskill]

It is hard. Python teaches u bad engineering practices.