Maria Chikina, Ph.D.
|Ph.D. in Molecular Biology, Princeton University|
3501 Fifth Avenue
The rise of genome-scale experimental methods has greatly accelerated the speed of biological data accumulation. However, as datasets increase in size, it becomes easier to find patterns and correlations, but harder to distinguish true biological insight from technological and statistical artifacts. Consequently, exploiting large-scale datasets to inform our understanding of biological systems remains a challenge. My work has focused on bridging the gap between statistically rigorous computational techniques and knowledge of underlying biological and experimental processes to develop methods that overcome the biases and artifacts inherent in the structure of large-scale datasets and transform noisy data into concrete biological knowledge.
Weisel FJ, Zuccarino-Catania GV, Chikina M, Shlomchik MJ (2016) A Temporal Switch in the Germinal Center Determines Differential Output of Memory B and Plasma Cells Immunity 44(1):116-30.
Chikina M, Robinson JD, Clark NL (2016) Hundreds of Genes Experienced Convergent Shifts in Selective Pressure in Marine Mammals Mol Biol Evol. Jun 21. pii: msw112. [Epub ahead of print].
Tao J, Xu E, Zhao Y, Singh S, Li X, Couchy G, Chen X, Zucman-Rossi J, Chikina M, Monga SP (2016) Modeling a Human HCC Subset in Mice Through Co-Expression of Met and Point-Mutant β-Catenin Hepatology [Epub ahead of print].