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The rise of the machine (learning) with Gareth Conduit

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Manage episode 381734101 series 3309009
Content provided by Cavendish Laboratory. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Cavendish Laboratory or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Today we’re joined by Dr Gareth Conduit. Gareth is a lecturer at Gonville and Caius College and Royal Society Research Fellow here at the cavendish Laboratory. He leads a research group focused on developing machine learning methods for understanding and designing new materials and chemicals.

In 2017, he co-founded the startup Intellegens, through which he’s worked with companies such as Rolls Royce to apply software developed in the lab to the kinds of materials questions faced by industry.

Today, we talk about how the joy of physics can come from breaking things down to understand how they work, Gareth’s journey through Cambridge life as an undergraduate, postgraduate and now independent researcher, and the exciting opportunities and advances that arise when you bring physics and computers together to solve real-world challenges.

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Share and join the conversation

  • If you like this episode don’t forget to rate it and leave a review on your favourite podcast app. It really helps others to find us.
  • Any comment about the podcast or question you would like to ask our physicists, email us at podcast@phy.cam.ac.uk or join the conversation on Twitter using the hashtag #PeopleDoingPhysics.

Episode credits

  • Hosts: Simone Eizagirre Barker and Jacob Butler
  • Recording and Editing: Chris Brock

This podcast uses the following third-party services for analysis:
OP3 - https://op3.dev/privacy
  continue reading

36 episodes

Artwork
iconShare
 
Manage episode 381734101 series 3309009
Content provided by Cavendish Laboratory. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Cavendish Laboratory or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Today we’re joined by Dr Gareth Conduit. Gareth is a lecturer at Gonville and Caius College and Royal Society Research Fellow here at the cavendish Laboratory. He leads a research group focused on developing machine learning methods for understanding and designing new materials and chemicals.

In 2017, he co-founded the startup Intellegens, through which he’s worked with companies such as Rolls Royce to apply software developed in the lab to the kinds of materials questions faced by industry.

Today, we talk about how the joy of physics can come from breaking things down to understand how they work, Gareth’s journey through Cambridge life as an undergraduate, postgraduate and now independent researcher, and the exciting opportunities and advances that arise when you bring physics and computers together to solve real-world challenges.

Useful links


Share and join the conversation

  • If you like this episode don’t forget to rate it and leave a review on your favourite podcast app. It really helps others to find us.
  • Any comment about the podcast or question you would like to ask our physicists, email us at podcast@phy.cam.ac.uk or join the conversation on Twitter using the hashtag #PeopleDoingPhysics.

Episode credits

  • Hosts: Simone Eizagirre Barker and Jacob Butler
  • Recording and Editing: Chris Brock

This podcast uses the following third-party services for analysis:
OP3 - https://op3.dev/privacy
  continue reading

36 episodes

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