Sanja began working as a research scientist in 2011 in the areas of computational neuroscience, neuroinformatics, neurophysiology, and biophysics. Her work centers on applying advanced signal processing, feature engineering, and pattern recognition systems to noisy, high-dimensional, spatiotemporal datasets generated through clinical neurophysiology techniques, including electromyography, electroencephalography, and transcranial magnetic and direct current stimulation. Most recently, Sanja has focused on data mining and predictive modeling of large-scale multivariate, nonstationary time series data. She mentors and tutors junior students in scientific programming, and is a member of the Serbian Society for Bioinformatics and Computation Biology and the Federation of European Neuroscience Societies. Sanja received her graduate degree in molecular biology and biophysics and is a doctoral candidate in the School of Neurosciences at the University of Belgrade.