AI for research
We're creating opportunities for researchers to explore, apply and develop AI approaches for biological discovery.
intro
The Crick is well-placed to make the most of the opportunities AI presents for research. We bring together biological expertise, diverse experimental systems, advanced technology and the ability to test ideas in the laboratory – all under one roof.
Our programme supports researchers across the institute to explore how AI can help address biological questions, analyse datasets, investigate unexplained observations and overcome experimental challenges.
By integrating biology, data science, software engineering and machine learning, we support rigorous and useful AI-enabled research.
Our focus areas
AI for Biological Discovery seminars
These seminars bring external speakers working across AI, machine learning and biology to the Crick to explore how AI can support biological discovery, find insights in complex data, and help researchers ask new questions.
See upcoming seminarsTutorials and tools
The tutorials and tools strand introduces practical AI methods that may be useful for biological research for researchers at the Crick and beyond.
Watch tutorial recordingsAI for Biology Clinics and Crick AI Club
AI for Biology Clinics give Crick researchers a place to bring biological questions, datasets, data analysis challenges, unexplained observations or early project ideas where AI might help.
The Crick AI Club is an internal group that organises short technical talks, followed by informal networking and working sessions.
Workshops to identify AI opportunities
We are developing workshops with researchers from the Crick and our university partners (UCL, King's, and Imperial). They will bring researchers together to discuss scientific questions, datasets, bottlenecks, and potential collaborations.
Co-development of AI methods
Some biological questions may need new or adapted AI methods rather than an existing tool.
This work will explore opportunities to bring Crick researchers together with AI experts to explore biological questions that could lead to new methods, adaptations of existing approaches or tailored analytical tools.
Strategic collaborations
The Crick is exploring how external collaborations in AI, data science and technology development could support biological discovery.
Event recordings
SeqMaestro – discovering the DNA and RNA sequence features behind biological activity, without coding
Multimodal data integration: from biomarkers to mechanism - Caroline Uhler
Related publications
Changing minds: How AI is transforming the life sciences
Daphne Koller, Peilong Lu, Laura Cantini, Yuri Pritykin, Jean Yee Hwa Yang, Kanaka Rajan, Martin Steinegger, Mihaela van der Schaar
Asymmetric Contrastive Objectives for Efficient Phenotypic Screening
Luke Nightingale, Joseph Tuersley, Scott Warchal, Andrea Cairoli, Jacob Howes, Cameron Shand, Andrew Powell, Darren Green, Amy Strange, Michael Howell
CellBRIDGE: Learning Cellular Trajectories via Interaction-Aware Alignment
