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 Matthew Wakeling

Matthew Wakeling

Research Fellow

01392 408237

RILD Building Floor 3

Matthew graduated with a BA (and MA) in Computer Science from the University of Cambridge. Immediately following this, he worked for two years in an internet shopping startup company, before returning to the university to work for the Department of Genetics in the FlyMine group for eight years. He then studied for his engineering doctorate with the University of Surrey and the Met Office. Matthew has developed a keen interest in data analysis and efficient software algorithms for processing data. He has been working in the monogenic diabetes group in the university medical school since 2015.

In his spare time Matthew enjoys music, gardening, DIY and mountain walking.

Qualifications

  • BA, MA University of Cambridge
  • EngD University of Surrey

Research

Research interests

Software engineering, data structures and algorithms, databases, data processing, performance optimisation, nonlinear minimisation, variational data assimilation.

Key publications | Publications by category | Publications by year

Key publications


Wakeling M, Eyre J, Hughes S, Roulstone I (2014). Assimilation of vertical motion from simulated cloudy satellite imagery in an idealized single column model. Quarterly Journal of the Royal Meteorological Society Abstract.
Smith RN, Aleksic J, Butano D, Carr A, Contrino S, Hu F, Lyne M, Lyne R, Kalderimis A, Rutherford K, et al (2012). InterMine: a flexible data warehouse system for the integration and analysis of heterogeneous biological data. Bioinformatics, 28(23), 3163-3165. Abstract.  Author URL.
Lyne R, Smith R, Rutherford K, Wakeling M, Varley A, Guillier F, Janssens H, Ji W, Mclaren P, North P, et al (2007). FlyMine: an integrated database for Drosophila and Anopheles genomics. Genome Biol, 8(7). Abstract.  Author URL.

Publications by category


Journal articles

Iacovazzo D, Flanagan SE, Walker E, Caswell R, Brandle M, Johnson M, Wakeling M, Guo M, Dang MN, Gabrovska P, et al (2016). A missense mutation in the islet-enriched transcription factor MAFA leads to familial insulinomatosis and diabetes. Endocrine Abstracts
Wakeling M, Eyre J, Hughes S, Roulstone I (2014). Assimilation of vertical motion from simulated cloudy satellite imagery in an idealized single column model. Quarterly Journal of the Royal Meteorological Society Abstract.
Smith RN, Aleksic J, Butano D, Carr A, Contrino S, Hu F, Lyne M, Lyne R, Kalderimis A, Rutherford K, et al (2012). InterMine: a flexible data warehouse system for the integration and analysis of heterogeneous biological data. Bioinformatics, 28(23), 3163-3165. Abstract.  Author URL.
Lyne R, Smith R, Rutherford K, Wakeling M, Varley A, Guillier F, Janssens H, Ji W, Mclaren P, North P, et al (2007). FlyMine: an integrated database for Drosophila and Anopheles genomics. Genome Biol, 8(7). Abstract.  Author URL.

Publications by year


2016

Iacovazzo D, Flanagan SE, Walker E, Caswell R, Brandle M, Johnson M, Wakeling M, Guo M, Dang MN, Gabrovska P, et al (2016). A missense mutation in the islet-enriched transcription factor MAFA leads to familial insulinomatosis and diabetes. Endocrine Abstracts

2014

Wakeling M, Eyre J, Hughes S, Roulstone I (2014). Assimilation of vertical motion from simulated cloudy satellite imagery in an idealized single column model. Quarterly Journal of the Royal Meteorological Society Abstract.

2012

Smith RN, Aleksic J, Butano D, Carr A, Contrino S, Hu F, Lyne M, Lyne R, Kalderimis A, Rutherford K, et al (2012). InterMine: a flexible data warehouse system for the integration and analysis of heterogeneous biological data. Bioinformatics, 28(23), 3163-3165. Abstract.  Author URL.

2007

Lyne R, Smith R, Rutherford K, Wakeling M, Varley A, Guillier F, Janssens H, Ji W, Mclaren P, North P, et al (2007). FlyMine: an integrated database for Drosophila and Anopheles genomics. Genome Biol, 8(7). Abstract.  Author URL.

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