About
Lawrence Murray is a writer, scientist and engineer based in Bangkok, where he lives with his wife and young daughter. He is currently working on a novel about technology and its effect on our lives.
This website collects his works in their various forms over the years: research papers, open source software, writing, photography, other creative things.
If you would like to know when the novel is ready (it may be a while yet!), sign up to the newsletter. You can also get in touch via email: [email protected].
A brief writing history
Lawrence has been writing since 2012. Initially, he was motivated by communicating his scientific work through creative nonfiction, in a blend of travel and science writing. Struggling through the uncanny valley between nonfiction and fiction, he embraced the latter instead, first short stories then novel length.
He is not yet published—employment made serious attempts difficult until recently (although he did try!). He moved to Bangkok in 2024 to have a go at it.
Of course, he has produced a mound of technical writing over the years, much of it published, including scientific papers, theses, and software documentation—but that’s a little different.
A brief work history
- Uber, San Francisco, USA (2018–2024)
- Senior Manager (Research Science and Engineering), working on models and optimization for forecasting, pricing, and incentives.
- Uppsala University, Sweden (2016–2018)
- Senior Research Scientist in the Department of Information Technology, working in probabilistic programming. Developed Birch, a probabilistic programming language.
- University of Oxford, UK (2014–2016)
- Senior Research Scientist in the Department of Statistics, working in computational statistics.
- CSIRO, Perth, Australia (2009–2014)
- Senior Research Scientist, working in Bayesian hierarchical modelling and computational statistics for environmental problems. Developed LibBi, a high-performance engine for Monte Carlo methods that runs on GPUs.
- Ph.D. Informatics, University of Edinburgh, UK (2005–2009)
- Probabilistic machine learning for functional magnetic resonance imaging (fMRI) using particle filters and distributed computing.
- B. Software Engineering, Australian National University, Canberra (2001–2004)