Space of phylogenetic trees relating four consecutive influenza seasons. Zairis et al. 2016.
The research of our group at Rutgers University focuses on cancer genomics and computational biology.

We develop novel analytical methods to understand the underlying genetics of human diseases and the molecular epidemiology of disease-causing organisms using high-throughput data. We are interested in identifying prognostic markers in cancer and studying tumor clonal evolution from a ppremalignant state to transformed, therapeutically resistant disease.

Understanding complexity, dynamics, and stochastic patterns in data —concepts native to physics and mathematics— is critical for elucidating how diseases like cancer originate and evolve. As researchers begin searching for more precision-oriented treatments, quantitative researchers play important roles in dissecting the cellular and molecular heterogeneity that enables cancer to resist current treatments. To this end, we actively promote the role of quantitative scientists and work closely with biologists and physicians, particularly as a part of the Precision Medicine Program and the Ganesan and Herranz laboratories.

© Khiabanian Lab 2015

Rutgers University
Rutgers Robert Wood Johnson Medical School
Department of Pathology and Laboratory Medicine

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