Past Events

Evaluating PPI (for Researchers)

This is a 1-day workshop designed to equip you with knowledge of large language models (LLMs) for use in scientific research. The course will introduce LLMs and how they work. Next, we’ll discuss approaches to prompting and RAG, along with the methods that are used to finetune LLMs.

The AI Club brings together the Biomedical AI and Machine Learning community in Cambridge, to discuss common themes and explore different topics and methodologies. The sessions open conversations to inform, inspire, and connect researchers at all levels, on topics within computational biology, AI and bioinformatics.

A one day workshop to equip researchers with knowledge of workflows and tools they can use to package and publish their code. Releasing software outputs from your research is an important step for open science and enables other researchers to utilise your code and for your work to have further impact.

This event is an excellent opportunity for ECRs (PhD students, postdocs, and early career fellows) involved in basic cardiovascular science research to network, present their work, and engage with peers.

This interactive session will provide practical guidance on preparing successful research grants and fellowship applications, with a focus on public health and interdisciplinary collaboration.

With the increase in AI-generated imagery using models such as Dall-E, Midjourney and Sora and research applications such as AlphaFold, there has been a surge in workflows incorporating models like Stable Diffusion.

This year's Annual Symposium is open to all members of our network and will be held at Robinson College Cambridge

Booking link

Writing research software in Python presents numerous challenges to reproducibility - what version of Python is being used? What about the versions of PyTorch, Scikit Learn or Numpy? Should we use Conda, or venv, or Poetry to manage dependencies and environments? How can we control randomness? Do I have the right version of Cuda Toolkit?

Translational and Scientific Ultra-high Field MRI of the Heart

Prof Laura Schreiber - University Hospital Würzburg, Germany