Lincoln Colling, PhD, FHEA
Data, Software, Neuroscience, and Philosophy
- Previously
- University of Sussex · University of Cambridge · Donders Institute
- Now
- Software Engineer @ Legal Tech · Fellow @ Institute for Research Software
- Profiles
- Google ScholarORCIDGitHubLinkedIn
Here you’ll find information about my publications, research software, and teaching materials.
For ongoing writing and experiments, read my blog at Bits and Pieces.
Explore my work
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Publications — view of download any of my publications.
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About — an academic biography and an overview of my research interests.
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Software — research software I’ve released.
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Teaching — materials for my Bayesian statistics course.
Selected publications
Bartholomew, Colling, Dasgupta, Greenberg, Lannelongue, Lestang, Martinez-Ortiz, Sauzé, Walker & Ward (2025). CATS: The Climate Aware Task Scheduler. Journal of Open Source Software. doi:10.21105/joss.08251
Souter, Lannelongue, Samuel, Racey, Colling, Bhagwat, Selvan & Rae (2023). Ten recommendations for reducing the carbon footprint of research computing in human neuroimaging. Imaging Neuroscience. doi:10.1162/imag_a_00043
Aston, Dehay, Dudek, Freyermuth, Szucs & Colling (2023). Spectrum inference for replicated spatial locally time-harmonizable time series. Electronic Journal of Statistics. doi:10.1214/23-ejs2130
Rae, Raykov, Ambridge, Colling, Gould van Praag, Bouyagoub, Polanski, Larsson & Critchley (2023). Elevated representational similarity of voluntary action and inhibition in Tourette syndrome. Brain Communications. doi:10.1093/braincomms/fcad224
Background
I hold a PhD in Cognitive Science from Macquarie University and have held academic positions at The University of Sussex, The University of Cambridge, and the Donders Institute for Brain, Cognition, and Behaviour. My research asks how we explain cognition, what counts as statistical evidence, and how to make research reproducible.
I now work as a software engineer at a legal tech startup building AI agents and the data layer to support them.