Dr. Danielle Sherman – Ecological Data Scientist
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Danielle Sherman - Nature Metrics

Danielle is involved in developing new ways of analysing and visualising the big biodiversity data generated by the company along with providing state-of-the-art visualisation and decision-making tools for customers. She also works with the rest of the company to help in expanding the data products on offer such as a system to aid in the prediction of ecosystem health integrating various types of ecological modelling.


PhD in Biodemography from the University of Southern Denmark, in conjunction with the Max-Planck Institute for Demographic Research, Rostock, MSc in Ecology, Evolution, and Conservation from Imperial College London and BSc in Zoology from Queen Mary, University of London.

Significant Collaborations

During her PhD, Danielle focussed on quantifying life history traits, and using modelling to determine how these change as plants age, data was both collected through experimentation and utilised existing data sets to complete analysis. This experience combined with programming in R allowed her to continue using her data science skills within industry. Since her PhD, Danielle has had considerable experience applying research and data science techniques to industry during her time in consulting, insurance, and oil and gas. Working in consulting she helped streamline data management and practises, then moved to oil and gas. It was here Danielle assisted in reducing food waste across service stations. Following this, she moved onto the insurance sector as a data scientist conducting business research. Danielle’s varied experience in research and industry serves her well in working on the big data produced and utilised at NatureMetrics.


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