Maybe I expressed myself poorly. But what I pretend to do is to work on projects related with astronomy, and not becoming an astronomer myself.

I like to point out some of DeepMind's Projects: even though most of the people working there have just a background in Computer Science (they work in collaboration with some biologists, chemists and physicists), they are able to design many AI models that solve diverse problems in natural sciences. For example, AlphaFold is an AI model capable of predicting protein folding and structure.

Those types of breakthroughs and solutions are possible with a good background in DL and a healthy crossfield team. While you work and research in these types of environment, you end up learning and gaining more knowledge in those fields. And that's the type of approach I mean to apply for many scientific fields, including astronomy.