שלומי - פקולטה לביולוגיה Biology Faculty

Education/ Resume:

ACADEMIC APPOINTMENTS

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

ACADEMIC DEGREES
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

קרא עוד

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

קרא עוד

Open Positions:

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

תומר שלומי