**Ruth Heller Ph.D.**

Tel Aviv University

**Tel Aviv, Israel
+972-3-6408806 (work)
ruheller at post dot tau dot ac dot il**

I am interested in developing statistical methodology in the areas
of multiple comparisons, replicability analysis, observational
studies and nonparametric statistics, with applications to
bioinformatics and functional Magnetic Resonance Imaging (fMRI).

**Multiple comparisons and replicability analysis - **

Analysis of high dimensional data, common in genomics applications and in fMRI
research, has to take into consideration the severe multiple
comparisons problem. In my research I develop testing strategies
that first examine families of hypotheses, e.g. gene set hypotheses,
and then individual hypotheses within these families, e.g. gene
hypotheses. I develop analysis strategies for establishing
replicability of findings when more than one study with high
dimensional data is available that examines the same or a similar
problem.

**Observational studies - **

For observational high dimensional studies, I
address the problem of hidden bias by examining sensitivity analysis
methods for different testing strategies.

**Nonparametric statistics - **

I am developing a new innovative method
for tackling one of the most basic problems of statistics - are two
random vectors dependent? Moreover, I plan to generalize and modify
this method for many other basic problems such as the two sample
problem, conditional independence and more.