Welcome, everyone to the ThoughtWorks Technology Podcast.

I'm one of your regular hosts, Neil Ford, and I'm joined today with one of our other regular hosts.

Rebecca Parsons.

I'm happy to be here, ThoughtWorks Chief Technology Officer and one of your

regular hosts as well. And we have a large, varied group of people today with a wide variety

of recording qualities because we're scattered literally all over the globe and we're all

trapped at home because of the

current geopolitical circumstances. But today we're going to be talking about quite a fascinating

subject, which is about machine learning and astronomy. And so I want to get some folks to

introduce themselves.

We have a number of people here from the National Center for Radio Astrophysics, which is part of the Tata Institute of Fundamental Research based in Apune, India.

And so let's get people to give an introduction to yourself. And I'm also going to ask our

guest to specify whether they are talking about galaxies or the sun, because we have two broad

topics here. My name is Yokesh Vardekar, and I'm an astronomer at the National Center for

Radio Astrophysics, located in Pune in India.

Pune is a town with an urban population of about 6.5 million and we are located about 200 kilometers

southeast of Mumbai. So we are close to the western coast of India. We run and operate a very large

radio telescope known as the giant meter wave radio telescope. This telescope is a radio interferometer

which is located about 80 kilometers north of Hune.

Within our institution, we have researchers exploring a wide variety of areas in current astrophysical research.

There's people who research pulsars, radio galaxies, do cosmology with high-rate shift, hydrogen detections, and so on.

So we cover a very large field of research in radio astrophysics, but we also do research.

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