David Sterratt
About
Following an undergraduate degree in Physics and a PhD in computational neuroscience, I've been a researcher, University Teacher and Lecturer and Senior Lecturer at the University of Edinburgh since 2000. My research is in the area of computational neuroscience: using mathematical and computational models of parts of the nervous system to help understand how it develops, learns and functions. With Bruce Graham, Andrew Gillies, Gaute Einevoll and David Willshaw, I'm co-author of the textbook Principles of Computational Modelling in Neuroscience (2nd Edition, CUP, 2023, following 1st Edition in 2011). I have developed and maintain a number of software packages. I have teaching interests in data science, statistics and sustainability. I co-designed and organise the large second year undergraduate course Informatics 2 - Foundations of Data Science, and supervise projects in data science as well as in my research areas. In 2023 and 2024 I taught the course Modelling of Systems for Sustainability with Nigel Goddard. I was Energy Coordinator for the Informatics Forum from 2011 to 2019
Research Performance Summary
First Recorded Paper
Is a biological temporal learning rule compatible with learning Synfire chains?
Year: 1999
Citations: 8
Venue: Artificial Neural Networks, 1999. ICANN 99. Ninth International Conference
Latest Recorded Paper
Actionable visualization principles and guidance for a foundational university data science course
Year: 2026
Citations: 0
Venue: Teaching Statistics
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.