Charlotte Bunne

Thanks for having me.

So I did my postdoc with Aviv Regev at Genentech and Yuri Leskovich at CZI.

And Yuri was part of the residency program of CZI.

And so this is how we got involved.

And Yuri had also prior work with Steve on the universal cell embedding.

So this is how everything got started.

So I think, I mean, one core idea of building this AIVC is that we basically can leverage all experimental data that is overall collected.

So this also goes back to the point Steve just made.

So meaning that we basically can integrate across many different studies data because we have AI algorithms or the architectures that power such an AIVC are able to integrate basically data sets on many different scales.

So we are going a bit away from this dogma.

I'm designing one algorithm from one data set to this idea of I have an architecture that can take in multiple data set on multiple scales.

So this will help us a bit in like being somewhat efficient with the type of experiments that we need to make and the type of experiments we need to conduct.

And again, what Steve just said, right?

Like ultimately we can very much steer which experiments we need to even conduct.

data sets we need to collect.

Currently, of course, we don't have all the data that is sufficient.

I mean, in particular, I think most of the tissues we have, they are healthy tissues, right?

We don't have all the disease phenotypes that we would like to measure.

Having patient data is always a very tricky case.

We have