Dr Nicola Rennie

Lecturer in Health Data Science

Research 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