Zach Lipton

Save time, save money, save lives.

I think, yeah, we see maybe like there's, I think, a very near-term mission, which is about removing, sort of like sucking all the friction out of the practice of healthcare, getting doctors above water and out of, you know, sort of like paperwork trap.

You know, they spend two hours doing clerical work for every one hour of direct patient care.

So I think like that's sort of the...

been like the beachhead is like the operational gains.

And at the same time, like my background came from, you know, a place of dealing with clinical medical data, working in methodology of like statistical inference, causal identification.

And ultimately, you know, I think the big dream for machine learning and health care has always been not just to not just to mitigate paperwork, but also to provide truly novel clinical insights.

And I think the kinds of partnerships and scientific

relationships that we are making with our partners put us in a position to sort of lead on both sides.

And so, you know, so I think if we were to stage it sequentially, it was save time, save money, save lives.

Yeah, I got a taste in undergrad.

So I was a musician first.

That was my big love.

I was a saxophone player.

I got to being in the New York area.

I got as like a young kid to grow up.

But I was also had a little bit like a math science brain.

And I think I was always caught between these two worlds.

And my way of threading the needle at the time was to when you hit a fork in the road, take it.

Yeah.