Tomer Shlomi, PhD, Professor

The Shlomi lab studies how cellular metabolism is rewired in cancer cells and how this can be exploited for cancer diagnosis and treatment. Towards this end, we combine quantitative experimental approaches with computational modelling. We expertise in mass-spectrometry based metabolomics, isotope tracing techniques, metabolic network modelling, and ‘omics’ data analysis.

We employ quantitative experimental and computational methods to address the following research areas:

1. Develop approaches to observe cellular metabolism at a spatial-temporal resolution.
2. Reveal metabolic rewiring due to genomic mutations in cancer.
3. Cancer immunometabolism.
4. High-throughput metabolomics screening approaches.
5. Cancer diagnosis via metabolomics and machine learning.