top of page

Public engagement

Name of project
Description
uni.code@school
Computer science research projects supervised by academics in Computational Life Sciences, finishing with a conference for the students hosted by the University of Birmingham
Bioinformatics in Schools
4 months of skills training and research projects in bioinformatics supervised by academics, with the aim of publishing the work in a scientific journal
AI in Schools
4 weeks of taught material on data science, programming and machine learning in Python, with two practical days, one focussed on Arduinos and robotics, the other focussed on data analysis and machine learning
Algowritten
A Mozilla Foundation-funded project that used large language models to generate fiction, and evaluated them for problematic biases

Learning materials for high-school students

I am developing classroom materials to complement the GCSE curriculum around infectious disease, antibiotic resistance, bioinformatics and artificial intelligence. These are a work in progress, and I would love for teachers and students to try the materials and provide feedback. If you are interested in using the materials, they are available below, and I am happy to talk via email

ethics-in-artificial-intelligence-light-peaceful-thought-provoking-warm-digital-painting-s
infectious-disease-and-antimicrobial-resistance-bacteria-by-jacob-lawrence-and-francis-pic

Other media

Seminar

Infectious Diseases: The Big Questions

A presentation for the Wellcome Genome Campus's Genomics Lite series on infectious diseases

Magazine article

Computer says...

As AI-augmented decision-making advances, Nicole Wheeler wonders who will be left behind.

Interview

Getting smart about artificial intelligence

Genomics is set to become the biggest source of data on the planet, overtaking the current leading heavyweights – astronomy, YouTube and Twitter.

Interview

How big data is changing science

New biomedical techniques, like next-generation genome sequencing, are creating vast amounts of data and transforming the scientific landscape. They’re leading to unimaginable breakthroughs – but leaving researchers racing to keep up.

Press release

Machine learning flags emerging pathogens

A new machine learning tool could be useful for flagging dangerous bacteria before they cause an outbreak, from hospital wards to a global scale.

Interview

Leading a global fight

The success of OUTBREAK would put Australia at the forefront of using machine learning to fight antimicrobial resistance (AMR)

Press release

Salmonella responsible for bloodstream infections in central Africa resistant to nearly all drugs

Strain of dangerous pathogen shown to have developed resistance to last-line-of-defence drug.

Interview

How the constant flow of data is revolutionising biology

With biomedical techniques throwing up floods of data, it’s not humans thinking up hypotheses – it’s algorithms

Interview

Overcoming bacterial resistance

Clare Sansom discusses the role of software in the fight against bacterial resistance. 

bottom of page