Office
(631) 632-5414
Email
gabor.balazsi@stonybrook.edu
Stony Brook University
115C Laufer Center
Stony Brook, NY 11794-5252
Gábor Balázsi, PhD
Henry Laufer Professor, The Louis and Beatrice Laufer Center for Physical and Quantitative Biology
Professor, Department of Biomedical Engineering,
Stony Brook University
Research Program
Imaging, Biomarker Discovery and Engineering Sciences
Departments
The Louis and Beatrice Laufer Center for Physical and Quantitative Biology
Department of Biomedical Engineering
Research Interest
The goal of my laboratory is to combine synthetic and evolutionary biology to develop a predictive, quantitative understanding of cancer-related processes such as metastasis-relevant cellular decision-making and the survival and evolution of cell populations during drug treatment. We have been pursuing two main research directions:
(1) computational modeling and co-analyzing natural gene and protein networks with genome-scale data; and (2) designing, building and experimentally characterizing synthetic gene circuits in adapting and evolving mammalian (including human cancer) cell lines.
Our current goal is to merge these two efforts and use synthetic gene circuits as perturbation tools to understand how gene regulatory networks adapt and evolve as they control cancer cell populations.
In the past, we mapped gene regulatory network responses to environmental changes; we showed how nongenetic cellular diversity can aid cell survival and mediate drug resistance; we built various synthetic gene circuits to control nongenetic cellular variability; we built “dimmer” or “linearizer” gene circuits for precise gene expression tuning; we developed computational models of natural and synthetic gene regulatory networks affecting drug resistance and metastasis; and we have confirmed computational predictions of evolutionary dynamics by experimental evolution of cells carrying synthetic gene circuits, bridging the fields of synthetic and evolutionary biology. Now we are interfacing natural gene networks with synthetic gene circuits to study how short-term and evolutionary dynamics of cancer cell populations affects cellular phenotypes relevant to metastasis and drug resistance, with suggestions for potential new therapeutic approaches against cancer drug resistance.
Education
PhD, Physics, University of Missouri at Saint Louis & Missouri S&T at Rolla, USA
MS, Physics, University of Missouri at Saint Louis, USA
MS, Magnetism, Babeş-Bolyai University of Cluj, Romania
BS, Physics, Babeş-Bolyai University of Cluj, Romania
Publications
A full list of publications can be found HERE.