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Edinburgh Data Science April Meetup

Event artwork for Edinburgh Data Science April Meetup

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About this event

What to expect

Join Edinburgh's vibrant data science community for an evening of cutting-edge machine learning insights at CodeBase this April. This meetup brings together professionals, academics, students, and AI enthusiasts to explore how advanced ML techniques are transforming both fundamental physics research and everyday consumer applications.

What to Expect

The evening features two compelling talks that showcase the breadth of modern data science applications. Dr. Alex Sopio, a postdoctoral researcher at the University of Edinburgh and Junior Fellow with the Generative AI Laboratory (GAIL), will present "AI agents at CERN: Building LLM tools for a Big Science collaboration." Discover how large language models are revolutionising collaboration at the ATLAS Experiment on the Large Hadron Collider — one of the world's most complex machines. With hundreds of scientific publications and PhD theses produced annually, the research output is overwhelming. Learn how LLMs now provide unprecedented tools to automate semantic understanding and supercharge physicist collaboration at this behemoth of fundamental physics.

The second talk by Dr. Gordon Henderson, Senior Data Scientist at Skyscanner, explores "Building Diversity-Aware Ranking Systems for Flight Search." This practical session examines how machine learning balances relevance with variety in flight search results, moving beyond greedy ranking approaches to improve the traveller experience through large-scale experimentation.

Event Format

  • 5:30pm - 6:30pm: Networking with complimentary pizza (sponsored by Trustpilot) and drinks (sponsored by Moonsift)
  • 6:30pm - 8:00pm: Two technical talks with Q&A sessions
  • 8:00pm onwards: Continued networking, with the group moving to a local pub at 8:30pm for those who wish to continue discussions

Who Should Attend

This meetup welcomes anyone working in or interested in data science, machine learning, artificial intelligence, and data analytics. Whether you're a seasoned professional implementing production ML systems, an academic researcher exploring new frontiers, or a student curious about real-world applications, you'll find valuable insights and connections here. The talks span from theoretical physics applications to consumer-facing ranking systems, offering perspectives for diverse backgrounds and interests.

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