Nastasiya is a mathematician with a background in probability theory and statistics and interest in solving complex biological questions through mathematical modelling and use of machine learning. She is particular interested in alternative approaches to modelling and analysis of biological data, such as FSPM (functional-structural crop modelling) and use of formal logic. Other interests involve multi-scale modelling (integration of knowledge from several different domains) and method development.
One of Nastasiya's current projects revolves around modelling plant-pathogen interactions using a combination of Boolean networks, active learning and abductive logic programming. She is also working on a collaborative project with Marlow Foods (producers of Quorn) trying to understand and control branching of the Fusarium venenatum fungi.
Nastasiya has previously worked on genetics of autoimmune disease at the University of Cambridge and genomic selection in a perennial ryegrass Lolium at the University of Manchester.
Recent publications
Imbalanced regression using regressor-classifier ensembles
An evaluation of machine-learning for predicting phenotype: studies in yeast, rice, and wheat