Statistics and Data Science Clinic
The Statistics and Data Science Clinic offers a free consulting service to all members of the broader research community within Queen Mary.
This initiative, initially launched thanks to support from the QMUL Enhancing Research & Innovation Cultures Fund, aims to provide a range of services, from statistical advice and new methodology development, to discussing potential academic collaborations and possible joint projects across different Schools and Faculties in QMUL. The idea is to keep the threshold to participation as low as possible: everyone is invited to attend, regardless of their fields and statistical skills. We sincerely hope that this service will help everyone make progress in their research and open up new research avenues through collaboration.
To arrange an appointment with the Clinic, please register using this form.
If you are unsure whether your query is appropriate for the clinic, feel free to contact Prof Silvia Liverani at s.liverani@qmul.ac.uk to check.
We sincerely hope that our service will help you make progress in your research. We also hope that sometimes our discussion might evolve into genuine scientific collaboration, but in many cases an acknowledgement in your paper of our assistance will be fine.
Our areas of expertise include:
- Causal inference
- High-dimensional statistical inference
- Linear models
- Generalised linear models
- Mixed effect models
- Hypothesis testing
- Missing data
- Model fitting and selection
- Monte Carlo methods
- Data mining
- Biostatistics, especially survival analysis
- Bayesian inference
- Experimental design
- Convex optimisation
- Statistical Computing with R and Python
- Functional data analysis
- Regression problems and supervised learning
- Classification, clustering and unsupervised learning
- Subsampling and bootstrap sampling
- Time series analysis
- Large-scale data analysis
- Nonparametric statistics
- Changepoint detection and estimation
- Unconditional and conditional independence testing
- Random matrix theory
- Image Analysis
- Spatio-temporal Statistics
- Combinatorics
- Complex systems
- Networks and graphical models
- Applications, including genetics, archaeology, sports, medicine, dentistry, geography, law, etc.