Dr Valeriia Haberland
Lecturer in Computer Science
Summary
I have been appointed as Lecturer in Computer Science in 2023. My research interests lie in the intersection of computing and biological sciences. Currently, I'm interested in modelling and predicting cancer aggressiveness based on the available molecular profiles using the state-of-the-art machine learning techniques. My other interests also include epidemiological causal inference to find associations between genetically translatable factors and disease outcomes. Developing the web applications and underlying infrastructure to support further research in these areas are also of interest.
Qualifications
- PhD in Computer Science, King's College London (2015)
- Fellow HEA (FHEA) - awarded in Oct 2023.
Newest selected publications
Liu, Y., Elsworth, B., Erola, P., Haberland, V., Hemani, G., Lyon, M., et al. (2021) ''. Bioinformatics, 37 (2). pp. 288 - 288. ISSN: 1367-4803
Liu, Y., Elsworth, B., Erola, P., Haberland, V., Hemani, G., Lyon, M., et al. (2020) ''. Bioinformatics, 37 (9). pp. 1304 - 1311. ISSN: 1367-4803
Zheng, J., Haberland, V., Baird, D., Walker, V., Haycock, PC., Hurle, MR., et al. (2020) ''. Nature Genetics, 52 (10). pp. 1122 - 1131. ISSN: 1061-4036
Elsworth, B., Lyon, M., Alexander, T., Liu, Y., Matthews, P., Hallett, J., et al. (2020) ''. .
Lightbody, G., Haberland, V., Browne, F., Taggart, L., Zheng, H., Parkes, E. and et al. (2019) ''. Briefings in Bioinformatics, 20 (5). pp. 1795 - 1811. ISSN: 1467-5463