Today’s episode of the AI Curious podcast features Ruth Pearson – UK born and raised, Ruth works as a data scientist and machine learning engineer.

Ruth grew up in the UK and originally planned to study English literature after school, but instead chose a Master of Science at the University of London, majoring in Physics, and now also has a PhD in Cosmology. Ruth undertook an internship in California in partnership with NASA while completing her first degree, and another in Switzerland at Cern, one of the world’s largest and most respected centres for scientific research.

In this episode, we discuss how Ruth discovered her love of Physics in high-school and followed her passion to study it at university, leading her to achieve hugely successful career. We also explore the under-representation of minority groups in the science and engineering fields, and what we can be doing to help bridge these gaps for the next generation.

Key points:

  • What is AI and AGI?

  • The medical applications of AI and data science and preventative studies

  • The lack of women in the science and engineering fields and why we need women in AI development

  • The importance of trying new things and overcoming initial fears to find a greater passion – for Ruth, this was coding at university

  • What young women can expect from the AI industry and the need for the industry to change to become a more welcoming space for women

  • A professional’s thoughts on self-teaching and online learning for young women just starting out in the tech world

Thanks for listening 

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  • Shay says:

    I found your website from Google as well as I have to claim it was a great discover.
    Many thanks!

  • Cara Austin says:

    Ruth, from the bottom of my heart, thank you for being a mentor. Unfortunately I was one of those unsupported and lost in the pipeline in high school despite being very interested in STEM. Decades later I’ve learnt to ignore the voice telling me I’m not good enough and ignore that ‘drop out’ label that eats away to pursue this field online. If anyone has created a clear online learning pathway specifically for non-tech, mature people lost in the system then I would love to share it. As you mentioned it’s better when you can talk with others. Perhaps I’ll need to find my way, document it and share it with others starting from the beginning at an older age. It takes a lot of courage but now seems like an opportunity for those who may have been left behind to learn AI online and ensure these patterns of past are not repeated.

    If anybody else reading this can relate or has had a similar experience, please reach out.

    Let’s do this.

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