Research output per year
Research output per year
Personal profile
Research Interests
Biomedical data science, computational systems biology, antimicrobial resistance, disease transmission.
Qualifications
2009, PhD, Applied Mathematics/Scientific Computing, FU Berlin.
2003, BSc, Computational Biology, FU Berlin.
Biography
My group is based jointly at the School of Informatics and the School of Biological Sciences. We work on computational approaches for biomedical applications with a focus on antimicrobial resistance. We employ computational systems modelling and machine learning, in close collaboration with experimental partners, to better understand bacterial responses to antibiotics.
My background is in Computational Biology and Scientific Computing. In the past I have studied and worked at the Freie Universität Berlin, the Hamilton Institute (National University of Ireland, Maynooth), Imperial College London and the University of Edinburgh.
External positions
Honorary Lecturer, Computational and Systems Medicine, Imperial College London
1 Dec 2020 → …
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Integrated Analysis of Patient Networks and Plasmid Genomes to Investigate a Regional, Multispecies Outbreak of Carbapenemase-Producing Enterobacterales Carrying Both blaIMP and mcr-9 Genes
Wan, Y., Myall, A. C., Boonyasiri, A., Bolt, F., Ledda, A., Mookerjee, S., Weiße, A. Y., Getino, M., Turton, J. F., Abbas, H., Prakapaite, R., Sabnis, A., Abdolrasouli, A., Malpartida-Cardenas, K., Miglietta, L., Donaldson, H., Gilchrist, M., Hopkins, K. L., Ellington, M. J., Otter, J. A., & 8 others, 15 Jul 2024, In: The Journal of Infectious Diseases. 230, 1, p. e159-e170 12 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
From Proteins to Ligands: Decoding Deep Learning Methods for Binding Affinity Prediction
Gorantla, R., Kubincová, A., Weiße, A. Y. & Mey, A. S. J. S., 20 Nov 2023, (E-pub ahead of print) In: Journal of Chemical Information and Modeling.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Prediction of hospital-onset COVID-19 infections using dynamic networks of patient contact: an international retrospective cohort study
Myall, A., Price, J. R., Peach, R. L., Abbas, M., Mookerjee, S., Zhu, N., Ahmad, I., Ming, D., Ramzan, F., Teixeira, D., Graf, C., Weiße, A. Y., Harbarth, S., Holmes, A. & Barahona, M., 1 Aug 2022, In: The Lancet Digital Health. 4, 8, p. e573-e583 11 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Informing antimicrobial management in the context of COVID-19: Understanding the longitudinal dynamics of C-reactive protein and procalcitonin
Ming, D. K., Myall, A. C., Hernandez, B., Weisse, A. Y., Peach, R. L., Barahona, M., Rawson, T. M. & Holmes, A. H., 8 Sept 2021, In: BMC Infectious Diseases. 21, 7 p., 932.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Network memory in the movement of hospital patients carrying antimicrobial-resistant bacteria
Myall, A. C., Peach, R. L., Weiße, A. Y., Mookerjee, S., Davies, F., Holmes, A. & Barahona, M., 3 May 2021, In: Applied Network Science. 6, 34.Research output: Contribution to journal › Article › peer-review
Open AccessFile
Projects
- 1 Active
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The role of RNA repair in bacterial responses to translation-inhibiting antibiotics
1/10/24 → 30/09/26
Project: Research