Elior Rahmani
Adjunct Assistant Professor · Computational Biology
University of California, Los AngelesAbout
Elior Rahmani is an Adjunct Assistant Professor in the Department of Computational Medicine at the University of California, Los Angeles (UCLA). He develops novel machine-learning methods and statistical models for analyzing high-dimensional genomic and clinical data, focusing on robustness against unknown confounding effects.
- Education:
- BSc in Computer Science and Biology, Tel Aviv University
- MSc in Computer Science, Tel Aviv University
- PhD in Computer Science, UCLA
Rahmani’s research spans computational biology, machine learning, and AI/ML in healthcare. His work enables cell-type-specific analysis of genomic data without requiring reference panels, advancing applications in epigenetics and single-cell biology.
His software tools include Keris (single-cell variation analysis), TCA (tensor decomposition for heterogeneous data), BayesCCE (Bayesian cell-type estimation), GLINT (DNA methylation analysis), and ReFACTor (reference-free correction methods).
- Scientific Awards:
- Travel fellowship, RECOMB 2022
- Charles J. Epstein Trainee Award, ASHG 2021
- LSRF Fellowship finalist, 2021
- Google outstanding graduate research award, UCLA 2019
- Best poster award, UCLA Human Genetics Retreat 2019
- Northrop-Grumman award, UCLA 2018
- Edmond J. Safra prizes, Tel Aviv University 2013-2017
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