Yuval Benjamini
Applied Statsitics and Data Science
Applied Statsitics and Data Science
Winter '26: I have a new opening for a PhD in the interface of Statistics and Computational Neuroscience
working in collaboration with Prof. Ayelet Landau and Prof. Martin Weiner.
Fall 25' New course on Machine learning interpretability from a statistical perspective.
As always, looking for students intersted in Masters and PhD students in Explainable ML / AI
or other topics in modern statistics and its interface with ML.
If you are interested, please contact me !
Associate Professor of Statistics and Data Science at the Hebrew University.
Co-Director of Center for Interdisciplinary Data Science (CIDR) .
Using prediction models for scientific discovery.
Model summarization and feature importance ("XAI") , prediction of variance ceiling, extrapolation and transfer measurements, model comparisons.
Exploration and statistical inference for large scale data,
in particular samples are large and complicated, including
Neuroscience imaging (fMRI, multi-electrode neuronal data).
Genomic signals such as DNA-sequencing coverage or DNA-methylation.
Other data that is hard to collect, such as manually collected social network data, cognitive test battery scores, etc.