Dr Anton Kalyuzhnyy
- Medical Statistician, Clinical Sciences
Biography
Dr Anton Kalyuzhnyy is a medical statistician specialising in the analysis of complex clinical data to support translational research and improve patient outcomes. He holds a PhD in Bioinformatics from the University of Liverpool and has extensive expertise in applying advanced statistical methodologies, machine learning and computational programming (R, Python and Stata) to clinical and epidemiological research.
He has worked with large-scale, multi-centre clinical datasets, applying methods such as regression and longitudinal modelling, survival analysis and risk prediction. His previous work includes the development and validation of predictive models for liver disease progression, including tools for risk stratification of liver failure to support clinical decision-making.
In 2025, Dr Kalyuzhnyy joined the Global Health Trials Unit at the Liverpool School of Tropical Medicine, where he provides statistical support to clinical trials and observational studies with a particular focus on malaria in pregnancy. His current work involves the design and analysis of studies evaluating interventions to reduce the burden of malaria in pregnancy, including assessment of maternal and neonatal outcomes across multi-site settings. He also serves on the Research Ethics Committee (REC) at LSTM.
Research interests
Dr Kalyuzhnyy is interested in the application of advanced statistical methods to clinical trials and epidemiological studies, with a strong focus on global health and infectious diseases. He currently works on projects investigating malaria in pregnancy. In addition, Dr Kalyuzhnyy’s methodological interests include survival analysis, regression modelling, machine learning and the application of emerging methods in Bayesian statistics to risk prediction.
Teaching
Dr Kalyuzhnyy has experience providing academic support to students across several postgraduate modules and practical workshops at the University of Liverpool. He is currently supervising an MRes project which investigates the use of antiepileptic medicine in pregnant women.