Episode Two - Rushen Patel

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The Galileo Interviews with Caspar Gleave

11 episodes

6 days ago

The Galileo Interviews are committed to helping to inspire our next generation of physicists, introducing them to some of the greatest minds in the current generation of physicists and the research that they are working on. Launched in Oct 2021 by Caspar, who has just started a four year degree in Physics with Theoretical Physics at Imperial College in London. Links: https://www.linkedin.com/company/thegalileointerviews https://twitter.com/TheGalileoInt https://www.instagram.com/thegalileointerviews

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Episode Two - Rushen Patel

The Galileo Interviews with Caspar Gleave

39 minutes 43 seconds

3 years ago

Episode Two - Rushen Patel

A conversation with Rushen Patel, Head of Enterprise Data Science at M & S, sharing his thoughts and experience from studying through to the commercial world and the commercial application of a physics degree and the career that he is successfully building on the back of it. This discussion covers the journey that has, to date, included Red Bull Racing & Red Bull Technology, Vivacity Labs, ProGrad, Marks and Spencer, and more.

Loads of great insight and advice.

Contents:

01:00 - As an engineer what's the most interesting problem you've ever worked on?

02:46 - What interested you about physics and engineering to begin with when you were young and what motivated you to then go and study it at Cambridge?

04:20 - What do you think the greatest thing you learned was whilst you were at Cambridge?

06:42 - So what was the transition like going from academic study and research into industry? What did you have to learn for that?

08:33 - Was it quite difficult to learn to explain some obviously quite high level concepts to people from a non-technical background?

10:21 - How do you go about solving problems in industry? Do you approach problems in a certain way?

14:50 - Could you explain what reinforcement learning is, how it works and how you applied it to this project (traffic flow)?

21:50 - Can you explain how these sorts of models work (model predictive control framework to guide policy decisions on social distancing) and how beneficial it would be to use systems like this to guide decision making?

26:20 - So what's been your favourite startup to work on and why?

29:12 - So if you could choose to work on anything else in the future what would it be?

32:05 - Which idea, in the history of science, do you believe, was the most revolutionary?

34:10 - Do you think that (quantum computing) could have a really significant impact on AI and machine learning?

36:40 - If you could give one piece of advice to someone around my age, 17, 18, looking to go into physics or engineering what would it be?

Links

https://www.linkedin.com/in/rushenpatel/

To view all episodes please also visit YouTube: https://www.youtube.com/c/thegalileointerviews