About the workshop
The 2024 Cambridge Biomedical Campus Machine Learning (CBCML) workshop is an event that aims to bring two communities together — researchers across the Cambridge Biomedical Campus (CBC), and the machine learning (ML) groups scattered around the University of Cambridge. Aimed primarily at early career researchers (ECRs), the workshop will provide an opportunity for application-driven researchers in biomedical data science to interact with the broader ML community in Cambridge on topics such as scalability, approximations and applications.
The workshop focuses on Gaussian Processes (GPs), a popular Bayesian modelling technique within statistics and ML that has found successful applications across a wide range of problems. Gaussian Processes are a useful tool in situations where the goal is to infer a latent function or trajectory with unknown parametric form, the relationship between inputs and outputs is highly non-linear, and data is limited and/or noisy. In biomedical research, GPs have found applications in infectious disease modelling, drug discovery, the analysis of electronic health records, as well as in molecular biology for analysing gene expression profiles and single cell data.
While GPs have numerous applications in biomedicine, their widespread adoption has been hampered by computational issues, notably a cubic scaling in the number of data points — rendering them impractical for datasets with more than a few thousand observations. However, over the past 10-15 years, researchers have largely overcome these challenges, making GPs an attractive option for modelling in many complex biomedical contexts.
Organization and speakers
The workshop features talks by ECRs showcasing recent applied and methodological developments relating to GPs. By bringing these two communities together, the hope is that the workshop will foster further collaboration between the researchers at the biomedical campus and the wider ML community at the University of Cambridge. Confirmed speakers are:
- Jiachen Cai (MRC Biostatistics Unit)
- Carl Henrik Ek (Computer Laboratory)
- Erin Hayes (Institute of Astronomy)
- Henry Moss (DAMTP)
- Shreyas Padhy (Department of Engineering)
- Aditya Ravuri (Computer Laboratory)
- Leiv Rønneberg (MRC Biostatistics Unit)
- Austin Tripp (Department of Engineering)
A more detailed program will be posted closer to the date.
Workshop logistics and registration:
The workshop is an in-person event at the MRC Biostatistics Department on the 28th of March 2024. This workshop is free to attend, including lunch and refreshments throughout the day.
Click below to register.
Note that should the workshop reach capacity, preference will be given to ECRs
The registration is now closed.
If you still wish to register, please reach out to Leiv Rønneberg (email@example.com) as there might be availability should spots open up closer to the date.
Date and time: Thursday 28th March 2024, 9:30am to 5pm.
Venue: MRC Biostatistics Unit, East Forvie Building, Forvie Site, Robinson Way, Cambridge Biomedical Campus CB2 0SR
Contact: For more information regarding the workshop, contact Leiv Rønneberg (firstname.lastname@example.org)
This workshop is funded via the Cambridge BRC: Data Science and Population Health Microfunding scheme for ECRs. NIHR Cambridge Biomedical Research Centre (NIHR203312)