Academic staff
Researcher interests: Comparative genomics, evolution and statistical and human genetics. Statistical and algorithmic problems arising from genomics applications. Probabilistic graphical models, multiple comparisons, theory and applications of sparse signal representations and compressed sensing.
FACULTY / SCHOOL: Faculty of Social Sciences
DEPARTMENT: Statistics
Contact Business Development: Tamir Huberman

Contact for more information:

Tamir Huberman
CIO
+972-2-6586678
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