Alexandra Piryatinska

Professor Alexandra Piryatinska is a faculty member in the Department of Statistics at San Francisco State University, located at TH 942. Her research focuses on time series analysis, EEG signal processing, complexity theory, and applications in medical diagnostics and biomarker identification. She holds a Ph.D. in Mathematics and has published extensively in interdisciplinary areas combining statistics with neuroscience and oncology.

Her work emphasizes novel methodologies for change-point detection in multidimensional time series, classification of EEG records using ϵ-complexity theory, and statistical modeling of cancer drug treatment success. Notable contributions include applications in Parkinson’s disease postural balance analysis, neonatal EEG sleep stage detection, and glycoprotein profiling in breast cancer subtypes.

Her research trends span algorithmic complexity-based classification, biomedical signal processing, and data-driven medical decision-making. She collaborates across disciplines to address challenges in clinical diagnostics and pharmacogenomics.

Her advising and grant activities are not explicitly detailed in the provided text, though her publications suggest involvement in collaborative research projects. She is affiliated with the SF State Faculty site and maintains an active research program in statistical methods for complex biomedical data.