`AIRR@CAM` 2026 ============= `AIRR@CAM` day will provide an opportunity to share experiences using Dawn, showcase research and technical use cases, hear updates from the Cambridge Research Computing team, and help shape priorities for the AIRR service moving forward. - **Date and Time**: 15th May 2026 - 09:30 - 16:30. - **Venue**: Churchill College, Storey's Way, Cambridge CB3 0DE - (free parking available) * From **Cambridge Railway Station**, walk 3 minutes to **Cambridge Railway Station (Stop 8)**. Take the **U2 Universal** bus towards **Sainsbury's.** Get off at **Storey's Way** after **13 stops** (around 20 minutes). From there, walk about 10 minutes to the **Møller Institute.** .. image:: ../images/Map-to-venue.jpeg *Can't attend in person? A remote attendance option is available.* - **Free Registration**: `Link to sign up form `_ - Registration closes on 8th May 2026 - **Accessibility**: wheelchair access, `step-free routes. `_ **Audience**: AIRR Dawn users from academia and industry, including researchers, principal investigators (PIs), PhD students, postdoctoral researchers, the Cambridge Research Computing team, and invited stakeholders from industry. ---------------------------------------------------------------------------------------------------------------------------- What is `AIRR@CAM` User Day? -------------------------- This event is designed to: - Showcase user use cases and experiences on Dawn. - Gather feedback and discuss support, training, and future priorities. - Encourage connections and potential collaboration between academic and industry users. - Help establish and grow an active AIRR user community. ---------------------------------------------------------------------------------------------------------------------------- Call for Talks -------------- Talk slots are currently full; you can still submit interest via the registration form and we'll contact you if space becomes available. ---------------------------------------------------------------------------------------------------------------------------- Agenda: ======= **Session 1:** -------------- **09:30–10:00 – Arrival & Coffee** **10:00–10:15 – Welcome & Objectives** *Richard McMahon – University of Cambridge* **10:15–10:35 – Introducing Zenith the next evolution of AIRR Service at Cambridge** *Chris Edsall - University of Cambridge* **10:35–11:00 – Collaborating with AIRR Users to Improve AI Software Functionality on Intel and AMD GPUS** *Karl Harrison – University of Cambridge* **11:00–11:20 – Break** **Session 2:** ------------------- **11:20–11:40 – Submitting jobs and best practices with Slurm** *Stuart Rankin – University of Cambridge* **11:40–12:15 – Cambridge Access Platform** *Deepak Aggarwal – University of Cambridge* **12:15–12:30 – VR Data Centre Tour** **12:30–13:30 – Lunch (provided)** **Session 3 - Industry & Research use cases:** --------------------------- - **13:30–13:55 – Hivemind AX: production‑grade multi‑agent AI orchestration for regulated enterprises** *Giovanni De Lillo - Hypereum Ltd* - **13:55–14:20 – CANOPY: a multi‑modal biological foundation model designed to reason across the full stack of engineering biology** *Satnam Surae - Twig Bio* - **14:20–14:35 – Aevum Foundry AI** *Ana Teixeira Jardim - Aevum Foundry* - **14:35–14:45 – Training AI models to classify memory for consumer and business use cases** *Rhea Anjali Deshpande - Hey Maple* - **14:45–14:55 – Solving Minority Class Problems: NLP for Underrepresented Populations** *George Unsworth - Mortar* - **14:55-15:05 - Beyond ‘It Runs’** *Tomas Lazaukas - Alan Turing Institute* **15:05–15:30 – Break** **Session 4 - Academic use cases:** --------------------------- - **15:30–15:40 – Porting the Aurora Weather Model to Intel Accelerated Hardware** *David Llewellyn-Jones - Alan Turing Institute* - **15:40–16:00 – The UK Cancer Vaccine AI Scientist and Supercomputing Project** *Lennard Lee - University of Oxford* - **16:00–16:05 – Deep Learning with Audio and Music** *Johan Pauwels - Queen Mary University of London* - **16:05-16:15 - NeuralBind: Informing binding affinity prediction with large-scale co-folding predictions** *Wei-Tse Hsu - University of Oxford* **Session 5:** ------------- **16:15–16:30 – DSIT / UKRI Reflections on the AIRR Programme** *DSIT / UKRI Team* - **16:30 - 16:35** - Wrap up