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facts about dana pe er.html

12 Facts About Dana Pe'er

facts about dana pe er.html1.

Dana Pe'er, Chair and Professor in Computational and Systems Biology Program at Sloan Kettering Institute is a researcher in computational systems biology.

2.

Dana Pe'er's husband, Itsik Pe'er, is a computational biologist at Columbia University.

3.

Dana Pe'er received a bachelor's degree in mathematics in 1995, as well as master's in 1999 and PhD degrees in computer science in 2003, from the Hebrew University of Jerusalem.

4.

Dana Pe'er earned her master's degree under Avi Widgerson, and carried out her PhD research in the lab of Nir Friedman.

5.

Dana Pe'er subsequently performed postdoctoral work with George Church at Harvard.

6.

Dana Pe'er's fellowship focused on how genetic variation changes the regulatory network between individuals and how this subsequently manifests in phenotypic diversity.

7.

In 2006, Dana Pe'er established a research group in the Department of Biological Sciences and Systems Biology at Columbia University.

8.

In 2016, Dana Pe'er joined the Sloan Kettering Institute in New York City.

9.

Dana Pe'er is involved in the Human Cell Atlas as a member of the organizing committee, co-chair of the Analysis Working Group, and member of the Human Lung Cell Atlas initiative, and serves on the scientific advisory board of scverse.

10.

At Columbia, Dana Pe'er applied Bayesian networks to integrate different data types for the study of gene regulatory networks, determining how DNA sequence variation alters the regulation of gene expression, with a view towards personalized medicine.

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The Dana Pe'er group used this formalization to identify discrete cell types or cell states by applying the Louvain community detection method to cluster data, and demonstrated that cells can be ordered along differentiation trajectories from individual samples, due to the asynchrony of cells found in tissue samples.

12.

Dana Pe'er applies these methods to model biological questions around cellular plasticity and single-cell phenotypic variation in cancer, developmental biology, and immunology, including tumor microenvironments, metastasis and responses to treatments such as immunotherapy.