Projects per year
My main area of interest lies in machine learning, deep learning and artificial intelligence and their applications in agriculture, specifically, data-driven phenotype prediction in dairy cattle. I have been working on predictions of economically important traits for over 5 years. Additionally, I have a keen interest in programming and software development, computer vision, quantitative genetics, and genomics. I still maintain an interest in the field of mathematics and my previous research area of mathematical biology and epidemiology.
I currently teach on the Applied Animal Science undergraduate degree programme within the Department of Animal Veterinary Science. Specifically, I am module lead for Data Science and Computing (P110-1Z). This 1st year module aims to provide students with the underlying skills and knowledge required to handle and analyse data. Teaching centres on the following core areas: use of a range of computer software suitable for a multitude of tasks; processing data to provide coherent structure; producing graphical and numerical summaries of data; identifying a range of basic statistical and computing concepts.
I currently supervise students at both undergraduate and postgraduate level providing honours and masters projects. Projects are generally centred around phenotype prediction, machine learning, genetics, and big data.
PhD, University of Stirling
Award Date: 23 Nov 2013
Bachelor, Heriot-Watt University
Award Date: 30 Jun 2008
1/01/19 → 6/09/21
Wall, E., Smith, S., Nicoll, L., Parker, J., Robertson, D., Davidson, R., Donbavand, J., Anderson, C., Roehe, R., Harrison, B., Purcell, L., Duthie, C., Gunn, G., Pritchard, T., Jones, S., Bagnall, A., Vosough Ahmadi, B., Archibald, I., Rees, B., Eory, V., Glenk, K., Edwards, T., Buckingham, S., March, M., Broadbent, C., Cloy, J., Hargreaves, P., Wishart, H., Griffiths, B., Fox, N., Sparks, N., Shrestha, S., Banos, G., Henry, M., Watson, C., Dickinson, J., Topp, K., Burnett, F., Kyle, J., Denholm, S., Dewhurst, R., Lawson, D., McCubbin, I., Dwyer, C., Holland, J., McCracken, D., Barratt, A., Havis, N., Stanisz-Migal, M., Miller, G., Bowen, J., Hutchings, M., Creissen, H., D'Eath, R., Baddeley, J., Houdijk, J., Coffey, M., Morgan-Davies, C., Walker, R., Turner, S., Haskell, M., Barnes, A., Athanasiadou, S., Cole, L., Sandilands, V., McLaren, A., MacLeod, M. & Smith, L.
1/04/19 → 31/03/20
Denholm, SJ., Wall, E. & Coffey, MP., 1 Apr 2021, In: Journal of Dairy Science. 104, 4, p. 4980-4990 11 p.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile7 Downloads (Pure)
Predicting bovine tuberculosis status of dairy cows from mid-infrared spectral data of milk using deep learningDenholm, SJ., Brand, W., Mitchell, A., Wells, AM., Krzyzelewski, T., Smith, SL., Wall, E. & Coffey, MP., Oct 2020, In: Journal of Dairy Science. 103, 10, p. 9355-9367 13 p.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile4 Citations (Scopus)8 Downloads (Pure)
Energy profiling of dairy cows from routine milk mid-infrared analysis: Energy Profiling From MIR SpectraSmith, SL., Denholm, SJ., Coffey, MP. & Wall, E., 1 Dec 2019, In: Journal of Dairy Science. 102, 12, p. 11169-11179 11 p.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile8 Citations (Scopus)19 Downloads (Pure)
Denholm, SJ., Sneddon, A. A., McNeilly, T. N., Bashir, S., Mitchell, M. C. & Wall, E., Dec 2019, In: Journal of Dairy Science. 102, 12, p. 11180-11192 13 p.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile6 Citations (Scopus)10 Downloads (Pure)
Denholm, SJ., McNeilly, TN., Coffey, MP., Russell, GC., Banos, G., Tolkamp, A., Coe, JE., Bagnall, A., Mitchell, MC. & Wall, E., Feb 2018, (First published).
Research output: Contribution to conference › Paper › peer-review
Scott Denholm (Speaker)14 Apr 2021
Activity: Talk, evidence or presentation types › Oral presentation
1 item of Media coverage
1 Media contribution