🦅 What’s driving the spread of highly pathogenic avian influenza (H5N1) across Europe? Using machine learning and wild bird ecology, a new study from @L_Brierley & colleagues reveals a shift towards year-round risk in cold, low-lying regions of NW Europe. www.nature.com/articles/s41...

🚨📝 New work via @thepandemicinst.bsky.social now preprinted! We took ~19000 sequences of avian influenza virus and trained machine learning models on >40000 genomic/proteomic features - the resulting ensemble can predict zoonotic potential with AUC=0.95. More below! www.biorxiv.org/content/10.1...

Happily kicking off my Bluesky account with our new preprint exploring how post-pandemic shifts in immunity have changed the risk of future zoonotic coronavirus emergence. Check it out here: 🔬📄 www.medrxiv.org/content/10.1... Excited to connect and discuss! #Virology #Epidemiology #Science

🚨👨🏽‍🔬👩🏿‍🔬𝗣𝗼𝘀𝘁𝗱𝗼𝗰 𝗵𝗶𝗿𝗶𝗻𝗴 𝗮𝗹𝗲𝗿𝘁! Work with us to develop supervised learning and graph analysis of the evolutionary and genomic links between viruses, the tissues they can infect, and the hosts that can be infected. 3y role based at @cvrinfo.bsky.social, apply by 18 Mar: vibelab.co.uk/blog/25-02-1...

Really proud to share our preprint describing early adaptation of H5N1 to US dairy cattle, and showing how these mutations enhance the ability of the virus to infect other mammals, such as pigs and humans. With @influenzal.bsky.social @vidhid.bsky.social @drclairesmith.bsky.social and many more!

Something I'm very proud of: @viralemergence.bsky.social has spent years now using ML models to figure out which orthopoxviruses could pose a risk to human health (left) and trace them back to their animal hosts (right) Links: www.cell.com/patterns/pdf... www.biorxiv.org/content/10.1...

🔍🦠🦗 𝗣𝗵𝗗 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲! Work with us, @martashocket.bsky.social and Max Farrell to build information systems and large language models to capture key biological host-pathogen relations from literature - that could control crop pests or conserve biodiversity!