Beyond Academia

About the series

 

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The Beyond Academia: AI & Data Science Applications seminar series at the University of Cambridge explores the transformative role of data and artificial intelligence in the world. Designed for postgraduate researchers, early-career academics, and students, the series bridges the gap between high-level research and real-world deployment. Through invited talks from Leaders and Professionals, the series delivers insights into non-academic career pathways and examines the technical, architectural, and operational challenges and opportunities of implementing AI innovation in organisations. The seminars are highly engaging sessions with plenty of opportunity for Q&A with the speaker.

Current Programme

 

Ryan Moore, Director of Data, The Guardian - Tuesday 5th May 2026

Nana Akande, Director of Data Products and Services, Royal Mail Group - Thursday 14th May 2026

Lauren Sager Weinstein, Chief Data Officer, Transport for London - Monday 8th June 2026

Mehmet Kerim Yucel, AI Research Lead, Canva - Monday 14th September 2026

Margi Sheth, Head AI Governance & Enablement, Novo Nordisk - Monday 28th September 2026

Mousami Mishra, AI/ML Lead, Apple - Tuesday 6th October 2026

Vera Hazelwood, Director: Data Science Collaborative Programmes, AstraZeneca - Monday 12th October 2026

Christina Matteotti, Head of Universities, EMEA Partnerships, Google - Thursday 22nd October 2026

Kate Sargent, Chief Data Officer, Financial Times - Tuesday 27 October 2026

Nickolay Burlutskiy, Head of Applied AI, BBC - Tuesday 10th November 2026

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Partner with us

 

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We invite organisations and professionals to partner with us by contributing to this seminar series and sharing their organisation’s data science and AI challenges and opportunities, and career journeys with the next generation of Cambridge scholars. 

Connect & Contribute

 

About the Series

Each seminar typically includes:

  • A 45–60 minute talk from an invited speaker

  • An interactive Q&A session with attendees

Talks focus on practical data science and AI insights and real-world experiences.

Suggested Topics

  • Challenges and opportunities of data science and AI innovation in organisations
  • Explore the transformative role of data and artificial intelligence and its implementation
  • Advice for researchers considering careers beyond academia
  • Skills and competencies valued in industry and organisations

Get Involved

If you are interested in sponsoring or speaking in the Beyond Academia seminar series, we would be delighted to hear from you.

Together, we can help equip the next generation of researchers with the knowledge, skills, and connections needed to thrive beyond academia.

Contact us to discuss participation, scheduling, or partnership opportunities.

Cambridge Careers Service

 

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Did you know that as a researcher at Cambridge, you have access to tailored careers guidance and support? Please explore the University's offerings for PhD students and postdocs. You might be interested in other careers events exploring careers beyond academia.  See what's happening this summer at the Cambridge Careers Service seminars "I'm a Researcher, What Next?".