Mm-hmm

... that necessarily creates, like, a long trajectory.

So for example, the problem of thinking on how does anesthesia work, and that's something which has been a question for now coming near 175 years.

And so picking apart, picking part of that and going after it, you know it's something which is going to be...

It's a challenging question, and if you're able to solve it, it's gonna have broad implications not only for taking care of patients, but also for neuroscience in general and science in general.

So that's the sort of things I've, I've tried to work on, like, picking important questions.

So as another illustration, in thinking about circadian rhythms, circadian rhythms are everywhere.

Okay.

What specific ways have you added your flair to those fields?

Well, I think that, uh, if we start with like the circadian rhythms, I think right there, was the main thing that I did was looking at the data that were being recorded at those times, like looking at core temperature rhythms to track the circadian system in patients or in study subjects.

I worked to get an accurate description of those oscillations.

So trying to make the model capture the structure and the data as accurately as possible and using what we call harmonic regression techniques to do that.

But then not just stopping there, but developing a full inference framework.

So you could actually, you could measure the aspects of the rhythm, you know, say the period, the amplitude, and then from there, be able to make statements of uncertainty about, you know, how confident we were about the characterizations that we came up with.

So that allows you to have an inference framework.

yeah i would say so too it did so um how have you sort of found the right environment for you to thrive scientifically and intellectually i i think a lot of people aim or aspire to be at institutions such as harvard and other institutions as well um so how did you find how do you know that was the right environment for you to thrive in scientifically and intellectually

And as she starts to go under-

Deep breath, Doris.

In and out.

Don't stop, Doris.

So I'm, I'm gonna just switch over to the, the spectrogram display and see what it shows us.

Deep breath, Doris.

A- and you say that with a, a w- what percent confidence?

Oh, 99.99999999999. [upbeat music]