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Dr Valeriia Haberland

I am working in collaboration with the UK pharmaceutical company, GlaxoSmithKline plc, in the project, which aims to identify drug targets for the number of diseases. My primary research interests now lie in developing the MR database, statistical analysis and machine learning.

  • Bioinformatics
  • Causal Inference
  • Database (MR-base)
  • Machine Learning

Past projects

I participated in several research projects:

(2018-2020, Nov/April) GlaxoSmithKline plc. The project focuses on the integration of the MR-Base analytical tools with the internal GSK database to facilitate a fast and easy Mendelian Randomization analysis and related follow-up analyses.

(2017-2015) Goldsmiths, University of London. The project focused on the automated data improvement, data integration from the external sources and efficient and accurate matching of the company records. This project was supported by the e-invoicing company, Tungsten Network Ltd.

(2015) Ulster University, Northern Ireland. This project aimed to identify key performance bottlenecks in analysing large clinical data and to develop parallel algorithms in order to speed up such analysis for personalised medicine.

Zaporizhzhya National Technical University, Ukraine:

(2008-2007) "Development of structure of Zaporozhye resource operating GRID center and its resources".

(2008-2007) "The models of mass transfer process during deposition of thin films by energetic particles".

(2006) "Molecular dynamic simulations of low energy ion sputtering of surface metal nanoclusters on metal and graphite substrates".


  • GlaxoSmithKline