Tomer Shlomi

Tomer Shlomi

Education/ Resume:


Starting May 2014: Associate Professor, Departments of Computer Science and Biology, Technion

July 2011 – May 2014: Senior Lecturer (Tenure track position), Department of Computer Science, Technion

August 2011 – August 2013: Visiting Associate Research Scholar in the Lewis-Sigler Institute for Integrative Genomics at Princeton University

2008 – 2011: Lecturer (Tenure track position), Department of Computer Science, Technion

2004-2008 Ph.D., Computer Science (Cum Laude)
Tel-Aviv University
Title of thesis: Building Blocks of Biological Cellular Networks, Supervised by: EytanRuppin and Roded Sharan
2002-2003 M.Sc., Computer Science (Cum Laude)
Tel-Aviv University
Title of thesis: In-silico modeling of metabolism in perturbed organisms, supervised by: EytanRuppin and Omer Berkman
1998-2001 B.Sc., Computer Science (Cum Laude)
Tel-Aviv University

read more
Research Summary

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

Develop approaches to observe cellular metabolism at a spatial-temporal resolution

Reveal metabolic rewiring due to genomic mutations in cancer

Cancer immunometabolism

High-throughput metabolomics screening approaches

Cancer diagnosis via metabolomics and machine learning

Key Publications:
  • W.D Lee, A.C Pirona, B. Sarvin, A. Stern, K. Di-Nur, E. Besser, S. Lagziel, D. Mukha, S. Raz, E. Aizenshtein, T. Shlomi. Tumor reliance on cytosolic versus mitochondrial one-carbon flux depends on folate availability, Cell Metabolism, 2020
  • S. Lagziel, E. Gottlieb, T. Shlomi. Mind your media, Nature Metabolism, 2020
  • B. Sarvin, S. Lagziel, N. Sarvin, D. Mukha, P. Kumar, E. Aizenshtein, T. Shlomi. Fast and sensitive flow-injection mass spectrometry metabolomics by analyzing sample specific ion distributions, Nature Communications, 11 (3186), 2020.
  • S. Lagziel, W.D Lee, T. Shlomi. Studying metabolic flux adaptations in cancer through integrated experimental-computational approaches, BMC Biology, 17 (1), 2019
  • W.D. Lee, D. Mukha, E. Aizenshtein, T. Shlomi. Spatial-fluxomics provides a subcellular-compartmentalized view of reductive glutamine metabolism in cancer cells, Nature Communications, 1351, 2019
  • E. Ahn, P. Kumar, D. Mukha, A. Tzur, T. Shlomi. Temporal-fluxomics reveals oscillations in TCA cycle flux throughout the mammalian cell cycle, Molecular Systems Biology, 13 (953), 2017
read more
Open Positions:

Open positions for MSc/PhD students as well as for post-docs with experimental and/or computational background.

Also available to you on social media