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Participants in small group discussion, brainstorming during workshop class

2024 Data Science Workshop

This workshop was held on 13 May 2024.
A half-day workshop explored avenues of collaborations between industries and academics in the field of Data Science including Health Data Science and medical applications, Machine Learning, Statistical Modelling, Cyber Security, Natural Language Processing and AI.

Session 1: Industrial and Health Applications - talks from invited partners

  • Introduction and Welcome
  • Royal Cornwall Hospitals NHS Trust, Brandon Chapman (20 mins)
  • Babcock Intl, Callum Springard and Merv Pengelly (20 mins)
  • Data Science in SECaM - Craig McNeile: "Using quantum computers to solve optimization problems" (10 mins)

Session 2: Industrial and Health Applications - talks from invited partners

  • School of Psychology, Professor Andy Wills: "HPC and AI in Cognitive Psychology" (20 mins)
  • SWGfL, Simon Wainwright and Kate Worthington: “Using Helpline data to improve support for adults affected by online harms” (20 mins)
  • Peninsula Medical School, Megan Courtman and Dr Stephen Mullin: "SustAIn SouthWest: "Collaboration between data scientists, clinicians and industry" (20 mins)

Session 3: Industrial and Health Applications and Academics within Data Science in SECaM - talks to introduce expertise areas and staff
  • Livewell Southwest, Michael Oliver: "Data Driven Wound Management" (20 mins)
  • Data Science in SECaM - Nathan Broomhead: "Topological Data Analysis" (10 mins)
  • Data Science in SECaM - Malgorzata Wojtys: "Statistics and NLP" (10 mins)
  • Data Science in SECaM - Dena Bazazian: "Machine vision" (10 mins)
  • Data Science in SECaM - Vasilios Kelefouras: "Optimizing Deep Neural Networks" (10 mins)

Session 4: Discussions
  • Talk from UoP R&I Team on joint grants opportunities - Gabrielle Bogart and Becky Moore (15 minutes)
  • Individual discussions and break-out groups (30 mins)

Organization committee

Support

This workshop was supported by a grant from EPSRC Impact Acceleration Account and Royal Statistical Society.