
Dr. Romana Burgess
@romana159
• Senior Research Associate at the University of Bristol • Exploring shopping data and population health • She/her • 🌿🏳️🌈 •
ID: 425357660
30-11-2011 22:17:54
17,17K Tweet
735 Followers
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Thank you to our speakers for Jean Golding's 85th Birthday celebration! 👉Eunice Lo Dr Eunice Lo 👉Alex Kwong Alex Kwong for delivering Heather Whalley's talk Heather Whalley 👉Anya Skatova anya skatova and thank you to Nicholas Timpson Nicholas Timpson


Check out this systematic review into remote patient monitoring and machine learning in exacerbations of COPD we got published by JMIR Publications! jmir.org/2024/1/e52143

Thanks to Industry and Parliament Trust for hosting a Parliamentary Seminar at the Palace of Westminster. The day was aimed at helping academics understand how to engage parliament in their research. Dr. Romana Burgess reflected on her experience in our blog! digifootprints.co.uk/romana-attends…


We will be at We The Curious this Sunday at the "Meet the Researcher" event! Come and see how your shopping compares to other visitors and ask us questions about how shopping data can be used for heath research. Dr. Romana Burgess anya skatova @neo_phd @alishasuhag Digital Footprints Lab


Massive thanks to We The Curious for hosting us yesterday. We had a great day engaging with visitors and having discussions about types of data they would be happy to link their shopping data, for the purposes of health research. Digital Footprints Lab Smart Data Research UK University of Bristol MRC IEU


Congrats to Dr. Romana Burgess & collaborators in the The Alan Turing Institute Novel Data Linkages for Health and Wellbeing Interest Group on your recent publication in BMJ Health & Care Informatics. Make sure to check out the paper: informatics.bmj.com/content/31/1/e… University of Bristol MRC IEU Smart Data Research UK


Congratulations to anya skatova on the recently published paper in npj Journals. It discusses important topics including the value of shopping data for health research & data linkage into longitudinal population studies! tinyurl.com/jkjmkz6v University of Bristol MRC IEU Smart Data Research UK


Late chunking - a paper I co-authored with Jina AI - shows that switching the order in which you chunk and embed your document gives better retrieval results 🤯 Thank you Michael Günther and Isabelle Mohr for letting me help! 📃 Full paper: arxiv.org/pdf/2409.04701


Shopping Trolley Secrets from anya skatova Digital Footprints Lab filmed in Bristol youtu.be/-n_ca3q7kMs?si… via YouTube

This is a result of our collaboration with We The Curious, come down to see our Shopping Trolley Secrets exhibition if you are in #Bristol ! Film by WovenFilms


We The Curious are hosting a Meet the researcher event this weekend. Elizabeth Dolan and team will be there to discuss digital health research. Check out the new video featuring anya skatova explaining the value of Shopping Trolley Secrets exhibition youtu.be/-n_ca3q7kMs?si…

🛬A new blog has landed! Our thanks to anya skatova and the Digital Footprints Lab team at University of Bristol who talk about using loyalty card data in their public health research. Read all here: bit.ly/4fhbgCh




It's been 6 months since The Digital Footprints 2024 conference University of Bristol Check out Dr. Romana Burgess post which looks back at the impact of 2024 & our hopes for DFC 2025 University of Leeds (Open Call for Contributions) anya skatova Michelle Morris Full blog post digifootprints.co.uk/reflecting-on-…


We had a great time at the “After Hours” Event at We The Curious on Friday. The sold-out event was packed with visitors, with over 300 people engaging with our “Shopping Trolley Secrets” exhibition! Check out the full blog post (Dr. Romana Burgess) here: digifootprints.co.uk/meet-the-resea…


📢 #PhD Opportunity! Join our team at the Digital Footprints Lab University of Bristol to explore the role of diet in cancer risk using real-world loyalty card data. ✅ Fully-funded ✅ Open to candidates with strong quantitative skills across multiple disciplines. Link in comments👇
