Nataliya graduated from Kharkov National University (Ukraine) with a Masters degree in Applied Mathematics. Then she came to the University of Arizona (USA) to pursue her PhD study in Hydrology and Water Resources, focusing on Bayesian mathematical structure estimation for hydrological models.
She joined Imperial College in 2008 as a post-doctoral researcher at the department of Civil and Environmental Engineering. Her research was funded under Flood Risks from Extreme Events program (NERC), Flood Risk Management Research Consortium programme (EPSRC), and Changing Water Cycle programme (NERC). Nataliya was appointed as a lecturer at the department in 2013.
Her research interests include:
Bayesian prediction uncertainty estimation and reduction, model identification and correction, treatment of model structural error, integrated hydrological modelling, prediction for ungauged/ non-stationary basins
et al., 2012, Integrating different types of information into hydrological model parameter estimation: application to ungauged catchments and land use change scenario analysis, Wrr
Bulygina N, McIntyre N, Wheater H, 2011, Bayesian conditioning of a rainfall-runoff model for predicting flows in ungauged catchments and under land use changes, Water Resources Research, Vol:47, ISSN:0043-1397
Bulygina N, Gupta H, 2011, Correcting the Mathematical Structure of a Hydrological Model via BayesianData Assimilation, Water Resources Research
Bulygina N, Gupta H, 2010, How Bayesian Data Assimilation can be used to estimate mathematical structure of a model, Serra, Vol:477
Bulygina N, Gupta H, 2009, Estimating the uncertain mathematical structure of a water balance model via Bayesian data assimilation, Water Resources Research, Vol:45, ISSN:0043-1397
Bulygina N, McIntyre N, Wheater H, 2009, Conditioning rainfall-runoff model parameters for ungauged catchments and land management impacts analysis, Hess, Vol:13, Pages:893-904