Dr Nicola Rennie
Lecturer in Health Data ScienceResearch Overview
My current research focus is in applications of statistics related to health. I'm also interested in thinking about how we communicate statistics - both to members of the public, and within the context of teaching statistics. My previous research developed methodology for identifying outliers in functional data, with a focus on data collected at overlapping intervals across a network structure. This research had a strong focus on applicability, with case studies relating to public transport - particularly railways and bike-sharing networks.
In addition, I have experience in data science consultancy, and enjoy collaborating closely with external research partners. I'm open to collaboration opportunities with researchers or practitioners who have interesting or challenging problems to work on. Please get in touch to discuss!
Profile: www.research.lancs.ac.uk/portal/en/people/nicola-rennie
Personal website: nrennie.rbind.io/
Stop making spaghetti (code)
Invited talk
Faster R code with Rust
Invited talk
Engaging and effective data visualisations
Invited talk
Introduction to machine learning with {tidymodels}
Invited talk
Typst or LaTeX? Styling PDF documents with Quarto extensions
Invited talk
Making your data visualisations more effective
Invited talk
Best practices for data visualisation
Invited talk
Journal of Clinical Epidemiology (Journal)
Publication peer-review
Forecasting with Generalised Additive Models (GAMs) in R
Invited talk
Data Visualisation in OR
Invited talk
Royal Institution Masterclass: An introduction to data science projects
Invited talk
Customizing slides and documents using Quarto extensions
Invited talk
Florence Nightingale Day: using data science to improve health outcomes
Invited talk
Discover Analytics (Journal)
Publication peer-review
Styling documents and building extensions with Quarto
Invited talk
Introduction to reproducible reporting with Quarto
Invited talk
Making Christmas cards with R
Invited talk
Teaching statistics interactively with webR
Oral presentation
Thriving as a Data Scientist: Her Perspective
Invited talk
Introduction to machine learning with {tidymodels}
Invited talk
Data, technology and medicine: Using data science to improve health outcomes
Invited talk
Royal Statistical Society Teaching Statistics Section (External organisation)
Member of an organisation
Teaching statistics interactively with webR
Oral presentation
Data visualisation: new best practice guidance from RSS publications
Invited talk
Researchers of Statistics Education (RoSE) Network (External organisation)
Member of an organisation
R-Ladies Lancaster (External organisation)
Member of an organisation
Classification of phonocardiogram signals to detect heart murmurs
Oral presentation
Using {tidymodels} to detect heart murmurs
Oral presentation
CRC Press (Publisher)
Publication peer-review
Royal Statistical Society: Best Practices for Data Visualisation
Consultancy
Royal Statistical Society (External organisation)
Member of an organisation
We're not getting any younger! Or should that be older?
Invited talk
- Centre for Marketing Analytics & Forecasting
- CHICAS