About me:

Cat is a health data scientist with an interdisciplinary natural science background. In her PhD she uses machine learning to help patients with type 1 diabetes achieve euglycaemia during exercise.

Cat is driven by both curiosity and a desire to see data science used as a power for good in our communities. Her strengths include an ability to explain complex ideas simply and thriving in a multidisciplinary teams.

In her free time, Cat can be found roaming the mountains, reading a good book or nattering with friends in the pub!

Health data science

Interpretable machine learning

Python

Open-source code

Public health

Data for good

• BSc Liberal Arts and Science, University of Maastricht
• MSc Computer Science, University of East Anglia