2019 - present, Reader, University of Manchester,School of Earth and Environmental Science. 2018 - present, Fellow of the Alan Turing Data Science Institute. 2001-2005:Phd, UMIST. 'Modelling the hygroscopic properties of atmospheric aerosol'.

My research is focused on sediment transport and sedimentology, and the physics linking sediment transport, sediment grain size, and channel morphology in rivers. Much of my work over the past two decades has been on developing new methods for making continuous measurements of suspended-sediment transport and grain size in rivers.

Scientist that loves to code. Passionate about community sharing, research, education and all things nerd. - loftytopping.

My research interests focus on building computational models of atmospheric aerosol particles for use in interpretation of field experiments and as sub models for incorporation in climate change models. This broad classification masks a hierarchy of models and techniques with greatly varying complexity and range of applicability.

Hello, my name is David Topping and I'm a Senior Lecturer working in the Centre for Atmospheric Science, at the University of Manchester, and Fellow of the Alan Turing Data Science Institute. On this website you can find further information regarding my scientific career to date and my current research portfolio.

Mar 17, 2025 · David Topping is a senior lecturer in the Centre for Atmospheric Science at the University of Manchester. He completed his PhD in 2005 on ’Modelling the hygroscopic properties of atmospheric aerosol particles’ at the University of Manchester Institute of Science and Technology (UMIST) after finishing a degree in Physics at the same institute.

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Mar 3, 2009 · Senior Lecturer in the School of Earth and Environmental Science. University of Manchester, UK. August 2013 – Ongoing. Fellow of the Alan Turing Data Science Institute. October 2018 – Ongoing. Postdoctoral Research Associate, Physics Dept., UMIST/University of Manchester September 2005 – August 2013.

David Topping's 150 research works with 5,222 citations and 23,868 reads, including: Comparative Analysis of Traditional and Advanced Clustering Techniques in Bioaerosol Data: Evaluating the...

My overarching research interests involve using numerical models and data to understand our impact on the world in which we live. This broad classification masks a hierarchy of models and techniques with greatly varying complexity and range of applicability.