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Maria Chikina is an Associate Professor in the Department of Computational and Systems Biology at the University of Pittsburgh. She earned her PhD in Molecular Biology from Princeton University. Her research focuses on the application of genome-scale experimental methods to understanding biological systems. With the increase in the size of biological datasets, Dr. Chikina aims to find patterns and correlations that lead to genuine biological insights, while addressing the challenge of distinguishing these insights from technological and statistical artifacts. Her work involves developing statistically rigorous computational techniques that bridge experimental processes and mitigate biases within large-scale datasets. This includes transforming noisy data into concrete biological knowledge, thus enhancing our understanding of complex biological systems.
The Statistics MS program focuses on mathematical statistics and applied statistics.