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Fiona Gibb | School of Informatics | School of Informatics

https://informatics.ed.ac.uk/study-with-us/our-degrees/postgraduate-research-and-cdts/discover-more-about-postgraduate-4

Fiona Gibb (1st-year PhD) is investigating how generative AI chatbots, like ChatGPT, can support midwives’ professional development in learning, leadership, and career progression.

AI fintech startup from Informatics raises £11 million in Series A investment | School of Informatics | School of Informatics

https://informatics.ed.ac.uk/news-events/news/latest-news/ai-fintech-startup-informatics-raises-ps11-million-series-investment

[09/08/2024] University AI fintech startup Aveni.AI, co-founded by Dr Lexi Birch from Informatics, has announced one of the largest Series A investments in a Scottish business this year, amounting to £11 million. The round was led by Puma Private

LFCS Seminar: 4 December 2020 - Koko Muroya | School of Informatics,LFCS | School of Informatics

https://informatics.ed.ac.uk/prospective-postgraduates/how-to-apply/lfcs-seminar-4-december-2020-koko-muroya

Speaker: Koko Muroya

Michael Mistry among five new fellows of the Bayes Innovation Fellows programme | School of Informatics | School of Informatics

https://informatics.ed.ac.uk/news-events/news/latest-news/michael-mistry-among-five-new-fellows-bayes-innovation-fellows

[23/09/2024] Professor of Robotics at the School of Informatics, Michael Mistry, has been selected into the second cohort of the Bayes Innovation Fellows for the potential to commercialise his research.

Discover more about Postgraduate Research | School of Informatics | School of Informatics

https://informatics.ed.ac.uk/study-with-us/our-degrees/postgraduate-research-and-cdts/discover-more-about-postgraduate-research

From immersive experiences like our PhD Shadowing Scheme to engaging events such as the Informatics PhD Fair, this section showcases ways to connect with our research community and learn more about postgraduate study.

Next year’s EIE will include the Tech Tour’s Growth Deeptech event | School of Informatics | School of Informatics

https://informatics.ed.ac.uk/news-events/news/latest-news/next-years-eie-will-include-the-tech-tours-growth-deeptech-event

[15/11/2024] Scotland’s tech showcase, EIE25, started by the School of Informatics in 2008, will co-host the Tech Tour’s Growth Deeptech event next year, bringing later-stage companies and investors from across the EU to Edinburgh in May.

DeepSpace: A breakthrough in Earth observation satellite image acquisition and storage | School of Informatics | School of Informatics

https://informatics.ed.ac.uk/news/latest-news/deepspace-a-breakthrough-in-earth-observation-satellite-image-acquisition-and

Researchers at the School of Informatics have developed DeepSpace, a new system that overcomes the major challenges of satellite image data transfer and storage. Using deep learning-based super-resolution, DeepSpace can compress images by more than

Leonie Bossemeyer | School of Informatics | School of Informatics

https://informatics.ed.ac.uk/study-with-us/our-degrees/postgraduate-research-and-cdts/discover-more-about-postgraduate-6

Leonie Bossemeyer (2nd-year PhD) is exploring how machine learning can support medical experts in mastering complex visual tasks, developing algorithms to make learning and teaching in these domains more effective.

Sethu Vijayakumar involved in UK-Japan Strategic Partnership discussions | School of Informatics | School of Informatics

https://informatics.ed.ac.uk/news-events/latest-news/sethu-vijayakumar-involved-in-uk-japan-strategic-partnership-discussions

[20/02/2025] Professor Sethu Vijayakumar, Professor of Robotics at the School of Informatics played a significant role in recent strategic UK-Japan partnership discussions. His contributions were particularly noted during the Wilton Park Discussions

Kendig Sham | School of Informatics | School of Informatics

https://informatics.ed.ac.uk/study-with-us/our-degrees/postgraduate-research-and-cdts/discover-more-about-postgraduate-5

Kendig Sham (2nd-year PhD) is developing methods to uncover true cause-and-effect relationships in spatial and temporal data, with applications to biomedical research.