Omer Weissbrod

About me

I am currently a postdoctoral fellow at Alkes Price's group at Harvard University. 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.

Before that I was a postdoctoral fellow at Eran Segal's group at the Weizmann Institute of Science. I completed my PhD 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.


email: oweissbrod [AT]

Twitter: @oweissb


Published Papers

  1. 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). Nature, in press. (* - joint first authorship).
  2. Regev Schweiger, Omer Weissbrod, Elior Rahmani, Martina Müller-Nurasyid, Sonja Kunze, Christian Gieger, Melanie Waldenberger, Saharon Rosset and Eran Halperin. RL-SKAT: An Exact and Efficient Score Test for Heritability and Set Tests. Genetics, 2017.
  3. Omer Weissbrod, Elior Rahmani, Regev Schweiger, Saharon Rosset and Eran Halperin. Association testing in bisulfite sequencing methylation data via Laplace Approximations. ISMB proceedings, 2017.
  4. Alina Kurolap, Orly Eshach-Adiv, Tova Hershkovitz, Tamar Paperna, Adi Mory, Danit Oz-Levi, Yaniv Zohar, Hanna Mandel, Judith Chezar, David Azoulay, Sarit Peleg, Elizabeth E Half, Vered Yahalom, Lilach Finkel, Omer Weissbrod, Dan Geiger, Adi Tabib, Ron Shaoul, Daniella Magen, Lilach Bonstein, Dror Mevorach, Hagit N Baris. Loss of CD55 in Eculizumab-Responsive Protein-Losing Enteropathy. New England Journal of Medicine, 2017.
  5. Tal Korem, David Zeevi, Niv Zmora, Omer Weissbrod, Noam Bar, Maya Lotan-Pompan, Tali Avnit-Sagi, Noa Kosower, Gal Malka, Michal Rein, Jotham Suez, Ben Z Goldberg, Adina Weinberger, Avraham A Levy, Eran Elinav, Eran Segal. Bread Affects Clinical Parameters and Induces Gut Microbiome-Associated Personal Glycemic Responses. Cell Metabolism, 2017.
  6. Elior Rahmani, Reut Yedidim, Liat Shenhav, Regev Schweiger, Omer Weissbrod, Noah Zaitlen and Eran Halperin. GLINT: user-friendly toolset for the analysis of high-throughput DNA-methylation array data. Bioinformatics, 2017.
  7. Zeev Waks, Omer Weissbrod, Boaz Carmeli, Raquel Norel, Filippo Utro and Yaara Goldschmidt. Driver gene classification reveals a substantial overrepresentation of tumor suppressors among very large chromatin-regulating proteins. Scientific Reports, 2016.
  8. Michal Ozery-Flato, Chen Yanover, Assaf Gottlieb, Omer Weissbrod, Naama Parush Shear-Yashuv and Yaara Goldschmidt. Fast and efficient feature engineering for multi-cohort Analysis of EHR data. NIPS 2016 Workshop on Machine Learning for Health, 2016.
  9. Keira Cohen*, Tal El-Hay*, Kelly Wyres*, Omer Weissbrod, Vanisha Munsamy, Chen Yanover, Ranit Aharonov, Oded Shaham, Thomas Conway, Yaara Goldschmidt, William Bishai and Alexander Pym. Paradoxical Hypersusceptibility of Drug-Resistant M. tuberculosis to beta-Lactam Antibiotics. EBioMedicine, 2016. (* - joint first authorship)
  10. Omer Weissbrod, Dan Geiger and Saharon Rosset. Multi kernel linear mixed models for complex phenotype prediction. Genome Research, 2016.
  11. Omer Weissbrod, Christoph Lippert, Dan Geiger and David Heckerman. Accurate liability estimation improves power in ascertained case-control studies. Nature methods, 2015.
  12. Assaf Glazer, Omer Weissbrod, Michael Lindenbaum and Shaul Markovitch. Approximating Hierarchical MV-sets for Hierarchical Clustering. NIPS proceedings, 2014.
  13. Tal El-Hay, Omer Weissbrod, Elad Eban, Maurizio Zazzi and Francesca Incardona. Structured Proportional Jump Processes. UAI proceedings, 2014.
  14. Chris Widmer, Christoph Lippert, Omer Weissbrod, Nicolo Fusi, Carl Kadie, Robert Davidson, Jennifer Listgarten and David Heckerman. Further Improvements to Linear Mixed Models for Genome-Wide Association Studies. Scientific reports, 2014.
  15. Michal Rosen-Zvi, Lavi Shpigelman, Alan Kalton, Omer Weissbrod, Saheed Akindeinde, Soren Benefeldt, Andrew Bentley, Terry Everett, Joseph Jajinskiji, Emmanuel Kweyu, et al. Estimating the Impact of Prevention Action: A simulation Model of Cervical Cancer Progression. Proceedings of MIE, 2014.
  16. Yael Peled, Michael Gramlich, Guy Yoskovitz, Micha Feinberg, Arnon Afek, Sylvie Polak-Charcon, Elon Pras, Ben-Ami Sela, Eli Konen, Omer Weissbrod et al. Titin Mutation in Familial Restrictive Cardiomyopathy. International Journal of Cardiology, 2013.
  17. Mark Silberstein, Omer Weissbrod, Lars Otten, Anna Tzemach, Andrei Anisenia, Oren Shtark, Dvir Tuberg, Eddie Galfrin, Irena Gannon, Rina Dechter, Elizabeth Thompson and Dan Geiger. A System for Exact and Approximate Genetic Linkage Analysis of SNP Data in Large Pedigrees. Bioinformatics, 2013.
  18. Omer Weissbrod and Dan Geiger. Genetic Linkage Analysis in the Presence of Germline Mosaicism. Statistical Applications in Genetics and Molecular Biology, 2011.