Charlotte Bunne

They are not going to scale.

And at the same time, I need to be completely flexible in whatever input combination of channel I'm just going to face in this experiment.

So, I mean, so this is what...

we right now did, for example, in our very first work, inheriting the design principle that we laid out in the paper, AI virtual cell, and then come up with new AI architectures that are dealing with these very special requirements that biological data have.

We have now a lot of computer scientists that work very, very closely, have a very good understanding of biologists, biologists that are getting much and much more into the computer science.

So people who are fluent in both languages somewhat that are able to now build models that are adapted and designed for biological data.

And we don't just take basically computer vision architectures that work well on street scenes and try to apply them on biological data.

So it's just a...

Very different way of thinking about it, starting, constructing basically specialized architectures.

Besides, of course, the tremendous data efforts that have happened in the past.

So I work in particular on the prospect of using this to build diagnostic tools and to make diagnostics in the clinic easier.

Because ultimately, we have somewhat limited capabilities in the hospital to run like deep omics.

But the idea of being able to somewhat map with cheaper and lighter tools

modality or like somehow diagnostic test into something much richer because the model has been seeing all those different data and can basically contextualize it.

It's very interesting, right?

We've seen all those pathology foundation models.

If I can always run an H&E, but then decide when to run deeper diagnostics to have a better or more accurate

prediction that is very powerful and is ultimately reducing the costs, but the precision that we have in hospitals.

So my faculty position right now is co-located between the School of Life Sciences, School of Computer Science.

So I have a dual affiliation.