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hellojesusyesterday at 7:03 PM2 repliesview on HN

Fair. I think this is about the extent of my training, which was as an Applied Mathematics and Econ undergrad about 15 years ago: Partial differential equations : an introduction / Walter A. Strauss > https://libcat.canterbury.ac.nz/Record/1093497/TOC

Maybe my idea of NASA was too encompassing. I figured that, apart from the engineering work, general sim would require optimizations and productionalization similar to how we have AI Engineers focused on the practical implementation of ML systems apart from the core model R&D.

I got a bit hooked on Econ for awhile which held my attention through an MS, which is when I learned about computers and then applied that into DS and development.

Most of my simulation experience is in stochastic systems and modern digital twins where agents sometimes have asymmetric information. I can see how I'm of no practical use to NASA now, but it still stings. What a bummer existing and not doing anything cool with life. A warning to youth!


Replies

FarmerPotatoyesterday at 9:04 PM

Were you in an Econ program that required tons of Matlab, SAS, R?

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alephnerdyesterday at 9:03 PM

I think you are underestimating your ability to contribute and also putting NASA on too much of a pedestal.

I'd argue your background is extremely valuable, but not easily traversible to NASA at the moment.

If you are deeply interested in the space, working with the newer startups in geospatial/hyperspectral imaging (be it climate or defense usecases) or CV space.

In a lot of cases, NASA is basically just acting as a coordinator between multiple vendors who are doing "the cool stuff" with less bureaucratic minutiae and stress from what's going on in DC.

Lots of interesting players in the ClimateTech and DefenseTech space who would like your background, and indirectly or directly they all work with NASA anyhow.

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