What an incredible experience at the Wellcome #WellcomeDataScienceIdeathon! Collaborating with my extraordinary #MindfulAI teammates has been a privilege. Proud and grateful to have been one of the top 23 teams over 100 applications, competing in semi-finals.

Thrilled to share our latest publication “Brain tumour genetic network signatures of survival” in Brain. Huge thanks to my fellow authors Dr James K Ruffle et al.. Paper here: doi.org/10.1093/brain/…

I am recruiting PhD students and postdocs at Cornell Bowers Computing and Information Science for Fall 2024! Looking for people passionate about solving problems at the intersection of Software Engineering and Machine Learning! Reach out if you are one of them, and/or please spread the word!

Exciting news! Our preprint on "Hippocampal networks facilitating reinforcement learning in partially observable environments" is now available! Check it out at biorxiv.org/content/10.110….

Parashkev Nachev delivers his extraordinary inaugural professorial lecture UCL Queen Square Institute of Neurology Humanizing neurology

Had a great time talking today about Best practices in software engineering, alongside Emilio Monti and Ryan Daniels at the #AISummitforScience in Cambridge. Big thanks to Catherine Breslin for putting it together and inviting me to participate! 🚀👩‍💻Accelerate_Science Cambridge University

Thrilled to announce that we clinched the SECOND PRIZE at the Cambridge University University of Cambridge ThinkLab  Google BBC Cape #Hackathon2023 on envisioning the #FutureOfWork, focusing on #Wellbeing, #Inclusion and #Neurodiversity. Big thanks to all involved, you made this journey unforgettable!

The Neural & ML group is coming to #Cosyne2024! Interested in learning, systems neuroscience, ML and more? Check out our posters and talks. TODAY: [1-023] Learning, selectivity, and robustness: an AI-inspired model of the cholinergic system [by Maija Filipovica]

Our work "Computational limits to the legibility of the imaged human brain" is finally out now! bit.ly/4cKOy4L

Join us for a free online workshop on dendritic computation, synaptic plasticity & molecular mechanisms in neuroscience, co-organized by Tatjana Tchumatchenko & UU ISRC's Cian O'Donnell. April 22-25, 2024. Info & registration: [tchumatchenko.de/Workshop/works…] #Neuroscience #Workshop

📢'The World Is Your Oyster' is for those who are born in global north countries--don't experience visa bureaucracy & emotional burden that non-white global south scholars do. Citizenship is a privilege that we need to recognize in the academe. 1/n nature.com/articles/d4158…

The best place to start a computational lab will be recruiting, don't miss out 👀👀👀

A new #AI tool, developed by a team of researchers at UCL Queen Square Institute of Neurology and UCLH and led by Dr James Ruffle Dr James K Ruffle, can analyse brain tumour scans more quickly than experienced neuroradiologists and provide greater patient-personalised detail to aid treatment ucl.ac.uk/news/2024/oct/…

Visa Info (1/N) COSYNE 2025 is registered with Immigration, Refugees and Citizenship Canada (IRCC) to increase visibility of conference attendees' applications and to help track and monitor the visa process. All participants applying for a visa to attend should apply for...

Had an amazing time at #I2K2024. Big thank you to the organisers!

Thank you so much CRUKCOLcentre! We’re thrilled to have won and couldn’t be more proud of the team. Congratulations team! Excited to take our project to the next level.

This was so fun! 🤩 Thank you HHMI | Janelia and #4DCP for the opportunity to present amongst so many amazing people.

Dr Dr James K Ruffle and the wider team at the High-Dimensional Neurology group at @UCLiON are transforming brain cancer care with AI-based tools that can analyse brain scans within seconds. We spoke to Dr Ruffle about their progress: buff.ly/BB7Zsug

Had so much fun sharing our research at the intersection of EM connectomics and computer vision- thanks to Accelerate_Science, Cambridge University and #MRC-LMB!

Finally BiaPy is out in Nature Methods! 🥳🥳🥳 A major milestone in my research! Incredibly proud of the progress made. Huge thanks to my PhD supervisors Ignacio Arganda-Carreras and Arrate Munoz Barrutia for their invaluable guidance and support throughout this journey. Check out the thread🧵👇