معرفی
Ruth Heller is a Professor in the Department of Statistics and Operations Research at the Faculty of Exact Sciences, Tel Aviv University, Israel. She joined the university in 2011 and has established herself as a leading researcher in statistical methodology, with significant contributions to multiple testing and replicability analysis frameworks.
Her academic journey includes a PhD in Statistics from Tel Aviv University (2007) under Yoav Benjamini, followed by postdoctoral positions at the University of Pennsylvania Statistics Department and Technion's Industrial Engineering and Management Faculty.
Heller's research focuses on advanced statistical methodologies critical for modern data-intensive science:
- Multiple comparisons methods for error rate control
- Nonparametric tests for independence and association
- Statistical inference in observational studies
- Post-selection inference procedures
- Replicability analysis across multi-study frameworks
- Conformal inference for prediction uncertainty
Her recent publications (2021-2025) reveal a strategic shift toward integrating conformal prediction with multiple testing frameworks, particularly for high-dimensional genomic and microbiome data. Key trends include directional inference in replicated studies and false coverage rate control for prediction sets.
Heller actively mentors students, currently supervising two PhD candidates (Barak Brill, Tzviel Frostig) and three Master's students (Adi Cohen, Alice Fridberg, Ron Itzikovitch), while maintaining an extensive portfolio of former advisees. She is recruiting for new PhD/Postdoc positions in selective and conformal inference.
She has developed influential open-source tools including R packages HHG (nonparametric independence tests), repfdr (replicability analysis), and Crossmatch (multivariate distribution comparison), alongside web applications to democratize methodological access.
