40 min listen
Episode Two - Rushen Patel
Episode Two - Rushen Patel
ratings:
Length:
40 minutes
Released:
Dec 29, 2021
Format:
Podcast episode
Description
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
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
Released:
Dec 29, 2021
Format:
Podcast episode
Titles in the series (11)
Episode Two - Rushen Patel by The Galileo Interviews with Caspar Gleave