Omer Weissbrod

About me

I am currently a postdoctoral fellow at Eran Segal's group at the Weizmann Institute of Science. My research lies at the intersection of machine learning, statistics and genetics. Specifically, I am interested in applying Gaussian processes and graphical model techniques for the analysis of large high-dimensional genetic data.

Previously I was a PhD student at the computer science department of the Technion under the supervision of Dan Geiger, and at the statistics department of Tel Aviv University under the supervision of Saharon Rosset. My PhD thesis tackled complex problems in statistical genetics, using advanced methods from machine learning and statistics.

I was also a part-time researcher at the Machine Learning for Healthcare and Life Sciences group at IBM Research Haifa, where I worked on a variety of projects involving analysis of genetic and clinical data.


omer.weissbrod [AT]


Papers in Preparation and Under Review

  • Daphna Rothschild*, Omer Weissbrod*, Elad Barkan*, Tal Korem, David Zeevi, Paul Igor Costea, Anastasia Godneva, Iris Nati Kalka, Noam Bar, Niv Zmora, Meirav Pevsner-Fischer, David Israeli, Noa Kosower, Gal Malka, Bat Chen Wolf, Tali Avnit-Sagi, Maya Lotan-Pompan, Adina Weinberger, Zamir Halpern, Shai Carmi, Eran Elinav, Eran Segal. Environmental factors dominate over host genetics in shaping human gut microbiota composition (preprint). Under Review. (* - joint first authorship)
  • Regev Schweiger, Omer Weissbrod, Elior Rahmani, Martina Müller-Nurasyid, Sonja Kunze, Christian Gieger, Melanie Waldenberger, Saharon Rosset, Eran Halperin. RL-SKAT: An exact and efficient score test for heritability and set tests (preprint). Under Review.
  • Omer Weissbrod, Shachar Kaufman, David Golan and Saharon Rosset. Likelihood-Based Analysis of High-Dimensional Data with Ascertainment and Dependency Structures. In preparation.
  • Omer Weissbrod, Jonathan Flint and Saharon Rosset. Estimating heritability and genetic correlation in case control studies directly and with summary Statistics. In preparation.

Published Papers