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Troyanskaya Laboratory specializes in understanding the immensely complex molecular networks that form the foundation of human biology and disease. The lab utilizes genomic approaches to provide insight into biological systems, coupled with advanced analyses, to model the complexity of molecular pathways. The primary objective of the research is to interpret and distill this complexity through accurate analysis and modeling of molecular pathways, particularly focusing on malfunctions that lead to disease manifestations. The lab invents integrative methods for systems-level pathway modeling and analysis of genome-scale datasets, applying these approaches to study challenging biological problems and dynamic changes in cellular function across various cell types. Achieving these research goals requires the development of innovative computational methods for analyzing and modeling high-throughput 'big data' biology. The interdisciplinary team includes experts in bioinformatics, machine learning, statistics, algorithms, and biology, facilitating collaborations with experimental and clinical researchers to explore a range of topics, including autism, Alzheimer's disease, and cancer. Their work aims to produce high-resolution predictive models that elucidate the molecular basis of disease by analyzing the effects of genetic and environmental perturbations at both the cellular and organism levels.
Princeton University • Princeton, NJ
Lead research in molecular biology, focusing on genomic approaches to deconstruct complex biological systems.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.