Charlotte Bunne

mostly non-interventional data, meaning we have very limited understanding of somehow the effect of different perturbations, perturbations that happen on many different scales in many different environments.

So we need to collect a lot here.

I think the overall...

journey that we are going with is that we take the data that we have, we make clever decisions on the data that we will collect in the future, and we have this also self-improving entity that is aware of what it doesn't know, right?

So we need to be able to understand how well can I predict something on this somewhat regime?

If I cannot, then we should focus our data collection effort into this.

So I think that's

Of course, not present state, but this will basically also guide the future collection.

Yes.

So in order to somewhat leverage like very different modalities, in order to leverage basically modalities that will take measurements across different scales, like the idea is that we have large, may it be transformer models that might be very different.

If I have imaging data, I have a vision transformer.

If I have text data, I have large language models that are designed, of course, for DNA, then they have a very wide context and so on and so forth.

But so the idea is somewhat that we have a,

models that are connected through the scales of biology, because those scales we know, we know which components are somewhat involved or in measurements that are happening upstream.

So we have the somewhat interconnection of very large model that will be trained on many different data.

And we have this internal model representation that somewhat capture everything they've seen.

This is what we call those universal representation that will exist across the scales of biology.

What is great about AI, and so I think this is a bit like a history of AI in short, is the ability to predict the last years, the ability to predict

generate right we can generate new hypothesis we can generate modalities that we are missing we can potentially generate certain cellular state molecular state and have a certain certain property but i think what's really coming is this ability to reason so we see this in those very large language models the ability to reason about a hypothesis how we can test it and so this is

what those instruments ultimately need to do, right?