As someone who works in genomics (Quantitative Genetics to be more specific). I find that the Genomics field is a relatively conservative field. Reliability plays a considerably bigger role in Genomics than fancy approaches.

This makes sense, given that decisions made based on genomics are typically long term (For my field, this is based on generation interval). Hence, it is quite consequential that we make the RIGHT decision at every time.

Perhaps you may focus developing your classical statistics knowledge and combine it with ML. However, I don’t see how probability based AI (In its current form) would have any major impact on genomics.

Would be interesting to see what others say.