Event

"Supporting data-driven science at the Wellcome Sanger Institute"

CB Seminar by Dr James McCafferty, CIO of the Wellcome Sanger Centre

Friday 11 October 2024

Date
Friday 11 October 2024, 11:00 - 12:00
Location
Medical Sciences Institute - Lecture Theatre

Medical Sciences Institute (MSI)

University of Dundee

Dow Street

Dundee

DD1 5HL

Booking required?
No

Host: Prof. Jason Swedlow

Venue; MSI Small Lecture Theatre, SLS

Overview - The Wellcome Sanger Institute in Cambridge UK is a world-leader in genomics research. My role as Chief Information Officer includes responsibility for our core informatics and data management. This presentation will outline the current setup and work underway at the Sanger, demonstrating how informatics and data management are key to our current and future scientific endeavours. I will give a flavour of some of the ‘big data’ science underway at the Sanger. This includes spatial/multi-omics, artificial intelligence/machine learning and synthetic genomics. I’ll highlight some future directions in better exploiting technology to improve how we do science generally. The ‘Digital Transformation of our Science’ is a vision that sees all our scientists suitably equipped and trained to exploit next-generation AI, digital infrastructure and techniques, to improve all aspects of our science.

Biography - James is the Chief Information Officer at the Wellcome Sanger Institute. His role encompasses research IT, research data, research software and informatics, enterprise applications, IT infrastructure and information governance and security. Before joining the Sanger, James was Chief Information Officer and Director of Research IT at University College London. And before that, various IT-related and programme management roles in BT (the UK’s leading telecommunications provider). James’ PhD is in AI/computer vision and his current key interests centre around ensuring that the Sanger’s Informatics and Digital Solutions play a very active role in helping scientists plan and deliver bold and ambitious science.

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Meeting ID: 364 314 729 792 

 

Event category Research