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Publications

Below you can find a list of publications resulting from projects we have worked on.

  • Willis, C.R.G., Ganjayi, M.S., Brown, A.M., Moser, S.E., Szewczyk, N.J., Clark, B.C. and Baumann, C.W., 2026. Comparative multi‐omics in female mice reveals tissue‐specific vulnerabilities to chronic alcohol intake. Alcohol: Clinical and Experimental Research, 50(2), p.e70240.
  • Jacobs, N., Williamson, L., Vines, T., Vignola-Gagné, E., Tibbs, C. T., Taggart, A., Sheppard, N., Roesch, E., Pispiringas, L., Pajor, R., O'Connor, D., Newton, J. T., Miller, K., Merrett, K., McCutcheon, V., Hrynaszkiewicz, I., Howarth, A., Hall, P., Groothuizen, J., … Mitchell, S. (2026). UKRN Working Paper 9: UKRN Open Research Indicators: Final Report. Zenodo. https://doi.org/10.5281/zenodo.18694638
  • Chitty, D., Helal, A., Rowlands, S., Willis, C., Underwood, C. and Keedwell, E., 2025, July. Ensemble Phased Genetic Programming for Roundabout Turn Restriction Prediction. In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 1345-1353).
  • Farrell, G., Reed, P., Pérez Sitjà, X., Miquel-Clopés, A., Goble, C., Carla, G., Singh, D., Helmy, M., Harrison, J., Andrews, R., Caamaño Gutiérrez, E., & Willis, C. (2025). Community insights on AI: reflections from the ELIXIR-UK All Hands 2025. 2025 ELIXIR UK All Hands, Exeter, UK. Zenodo. https://doi.org/10.5281/zenodo.17853430
  • Seiler Vellame, D., Willis, C., Kainth, P., Young, S., & Mill, J. (2025). Coordinating Data for the UK Human Functional Genomics Initiative. Careers and Skills for Data-driven Research (CaSDaR) Townhall Launch event, The Library of Birmingham and online. Zenodo. https://doi.org/10.5281/zenodo.17594181
  • Wilson, T., Wisdish, S., Osofa, J., & Farris, D. J. (2025). Evaluating Machine Learning-Based Classification of Human Locomotor Activities for Exoskeleton Control Using Inertial Measurement Unit and Pressure Insole Data. Sensors, 25(17), 5365. https://doi.org/10.3390/s25175365.
  • Hawes, T., Johns, M., White, H., Salter, J., Olivier, E., Kimpton, L., Xiong, X., & Challenor, P. (2025). EXAUQ-Toolbox (Version v0.3.2) [Computer software]. https://doi.org/10.5281/zenodo.15005642
  • Sergeev, D.E., Boutle, I.A., Lambert, F.H., Mayne, N.J., Bendall, T., Kohary, K., Olivier, R., Shipway, B., 2024, The impact of the explicit representation of convection on the climate of a tidally locked planet in global stretched-mesh simulations. Preprint arXiv:2402.19277.
  • O'Shea-Wheller, T.A., Corbett, A., Osborne, J.L. et al. VespAI: a deep learning-based system for the detection of invasive hornets. Commun Biol 7, 354 (2024). DOI:10.1038/s42003-024-05979-z.
  • Sergeev, D. E., Mayne, N. J., Bendall, T., Boutle, I. A., Brown, A., Kavčič, I., Kent, J., Kohary, K., Manners, J., Melvin, T., Olivier, E., Ragta, L. K., Shipway, B., Wakelin, J., Wood, N., and Zerroukat, M.: Simulations of idealised 3D atmospheric flows on terrestrial planets using LFRic-Atmosphere, Geosci. Model Dev., 16, 5601–5626, https://doi.org/10.5194/gmd-16-5601-2023, 2023.
  • O. Kyriienko and E.Magnusson (2022). ‘Unsupervised quantum machine learning for fraud detection’. arXiv:2208.01203 [quant-ph]. DOI:10.48550/arXiv.2208.01203.
  • Friedlingstein, P., O'Sullivan, M., Jones, M. W., Andrew, R. M., Gregor, L., Hauck, J., Le Quéré, C., Luijkx, I. T., Olsen, A., Peters, G. P., Peters, W., Pongratz, J., Schwingshackl, C., Sitch, S., Canadell, J. G., Ciais, P., Jackson, R. B., Alin, S. R., Alkama, R., Arneth, A., Arora, V. K., Bates, N. R., Becker, M., Bellouin, N., Bittig, H. C., Bopp, L., Chevallier, F., Chini, L. P., Cronin, M., Evans, W., Falk, S., Feely, R. A., Gasser, T., Gehlen, M., Gkritzalis, T., Gloege, L., Grassi, G., Gruber, N., Gürses, Ö., Harris, I., Hefner, M., Houghton, R. A., Hurtt, G. C., Iida, Y., Ilyina, T., Jain, A. K., Jersild, A., Kadono, K., Kato, E., Kennedy, D., Klein Goldewijk, K., Knauer, J., Korsbakken, J. I., Landschützer, P., Lefèvre, N., Lindsay, K., Liu, J., Liu, Z., Marland, G., Mayot, N., McGrath, M. J., Metzl, N., Monacci, N. M., Munro, D. R., Nakaoka, S.-I., Niwa, Y., O'Brien, K., Ono, T., Palmer, P. I., Pan, N., Pierrot, D., Pocock, K., Poulter, B., Resplandy, L., Robertson, E., Rödenbeck, C., Rodriguez, C., Rosan, T. M., Schwinger, J., Séférian, R., Shutler, J. D., Skjelvan, I., Steinhoff, T., Sun, Q., Sutton, A. J., Sweeney, C., Takao, S., Tanhua, T., Tans, P. P., Tian, X., Tian, H., Tilbrook, B., Tsujino, H., Tubiello, F., van der Werf, G. R., Walker, A. P., Wanninkhof, R., Whitehead, C., Willstrand Wranne, A., Wright, R., Yuan, W., Yue, C., Yue, X., Zaehle, S., Zeng, J., and Zheng, B.: Global Carbon Budget 2022, Earth Syst. Sci. Data, 14, 4811–4900, https://doi.org/10.5194/essd-14-4811-2022, 2022.