Projects per year
I am a physical data scientist; I objectively calculate odds, identify patterns and detect anomalies in large, complex datasets. I collect observational data and develop numerical models and have a special interest in model-data comparison and assessing and communicating uncertainty.
My current research at SAMS applies a combined model-data approach to observational physical oceanography data and high resolution, non-hydrostatic numerical ocean models to better understand small-scale ocean physics. This understanding is then used to optimise marine industries, such as aquaculture, and ensure sustainable use of our oceans.
My past research has involved fieldwork in both the Arctic and Antarctic and used coupled climate models to better understand how the high latitude climate system has varied in the past and how it may vary in future.
I have experience as a data science consultant, specifically using machine learning and data visualisation to extract the full potential and hidden insights from client datasets.
2016 PhD. University of Bristol
2012 MSc Oceanography. University of Southampton
2011 BSc (Hons) Physical Geography. University of Portsmouth
Holloway, M., Sime, L., Wolff, E., Valdes, P., Steig, E. J. & Pauling, A., 25 Mar 2021, In: Geophysical Research Letters. 48, 6, 10 p.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile1 Citation (Scopus)3 Downloads (Pure)
How useful is snow accumulation in reconstructing surface air temperature in Antarctica? A study combining ice core records and climate modelsDalaiden, Q., Goosse, H., Klein, F., Lenaerts, J. T. M., Holloway, M., Sime, L. & Thomas, E. R., 8 Apr 2020, In: Cryosphere. 14, 4, p. 1187-1207 20 p.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile3 Citations (Scopus)