{"id":106275,"date":"2023-11-17T13:37:28","date_gmt":"2023-11-17T13:37:28","guid":{"rendered":"https:\/\/www.bgs.ac.uk\/?post_type=person&p=106275"},"modified":"2023-11-17T13:37:28","modified_gmt":"2023-11-17T13:37:28","slug":"paice-matthew","status":"publish","type":"person","link":"https:\/\/www.bgs.ac.uk\/people\/paice-matthew\/","title":{"rendered":"Dr Matthew Paice"},"content":{"rendered":"\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t

As a data scientist at BGS I collaborate with scientists across all challenge areas, and with external partners to QA and visualise data sets, produce machine learning models which can be used to predict and classify data, as well as provide uncertainty on the modelled results. I am particularly interested in producing \u201cexplainable\u201d models which can help BGS scientists lead to new understanding.<\/p>\n

Prior to joining BGS I worked in a start-up MedTech company, helping to develop diagnostic and predictive algorithms for those with suspected, or long-term respiratory conditions. I have also worked on developing turbulent inlet conditions for incompressible flow, to model thunderstorm downburst outflow, and developed experimental lab-based techniques for modelling downburst outflow.<\/p>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t

\n\t\t\t\t\t
\n\t\t\t\t\t\t