Faculty

Whitehead Institute’s world-renowned faculty include the recipient of the 2011 National Medal of Science (Rudolf Jaenisch); 2010 National Medal of Science (Susan Lindquist); 1997 National Medal of Science (Robert A Weinberg); ten Members of the National Academy of Sciences (David Bartel, Gerald R. Fink, Jaenisch, Lindquist, Harvey F. Lodish, David Sabatini, Terry Orr-Weaver, David C. Page, Weinberg, and Richard Young); five members of the Institute of Medicine (Fink, Jaenisch, Lindquist, Page, and Weinberg); and six Fellows of the American Academy of Arts and Sciences (Fink, Jaenisch, Lindquist, Lodish, Page, and Weinberg). All Whitehead faculty are also professors at MIT.


David Bartel


Iain Cheeseman


Gerald R. Fink


Mary Gehring


Piyush Gupta


Rudolf Jaenisch


Susan L. Lindquist


Harvey F. Lodish


Terry L. Orr-Weaver


David C. Page


Peter W. Reddien


David Sabatini


Hazel L. Sive


Robert A. Weinberg


Jing-Ke Weng


Richard A. Young


Affiliate member:
David Gifford

Faculty In The News

February 2, 2017

Researchers chart global genetic interaction networks in human cancer cells

Investigators at Whitehead Institute and the Broad Institute have succeeded in identifying the set of essential genes—those required for cellular proliferation and survival—in each of 14 human acute myeloid leukemia (AML) cell lines that had previously been characterized by genome sequencing. By combining their “gene essentiality map” with the existing genomic information, their study revealed liabilities in genetically defined subset of cancers that could be exploited for new therapies.

January 25, 2017

New Clues on the Basis of Parkinson’s Disease and Other “Synucleinopathies”

Parkinson’s disease (PD) and other “synucleinopathies” are known to be linked to the misfolding of alpha-synuclein protein in neurons. Less clear is how this misfolding relates to the growing number of genes implicated in PD through analysis of human genetics. Two new studies from researchers affiliated with Whitehead Institute and Massachusetts Institute of Technology explain how they used a suite of novel biological and computational methods to shed light on the question.

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