> But is there still algorithmic low hanging fruit?
I would say no unless looking at the frontiers of what is done in the wet lab which might require new analytical tools. But this stuff is probably much easier for and much better aligned with someone doing CS in academia.
My impression that there is quite some space for ML-based approaches including DL. But even there I would not call it low-hanging.
I would say no unless looking at the frontiers of what is done in the wet lab which might require new analytical tools. But this stuff is probably much easier for and much better aligned with someone doing CS in academia.
My impression that there is quite some space for ML-based approaches including DL. But even there I would not call it low-hanging.