Dr Alex Gavryushkin conducts research within the area of mathematical and computational genomics. He runs the research group within the department working on data-scalable computational methods in biology and biomedicine: The Biological Data Science Lab.
His work is funded by a Rutherford Discovery Fellowship from the Royal Society of New Zealand.
''In this research programme Dr Alex Gavryushkin will develop mathematical, statistical, and computational machinery for evolutionary analysis of ‘omics’ data, with a specific focus of enabling online algorithms. He and his research team will apply methods from modern branches of computational geometry, data science, and computer science to enhance statistical and computational performance of evolutionary approaches used in epidemiology, cancer research, ecology, and pharmacology. Specifically, they will develop efficient online methods and algorithms for several classes of inference problems that arise in evolutionary biology.''
A full description of the fellowship and research can be found here.
