معرفی
Gábor Balázsi is the Henry Laufer Professor at Stony Brook University, holding dual appointments in the Department of Biomedical Engineering and the Laufer Center for Physical & Quantitative Biology. His research focuses on understanding cellular decision-making and population dynamics through synthetic and computational approaches. Balázsi earned his Ph.D. in Physics from the University of Missouri and has held prior roles at the University of Texas MD Anderson Cancer Center. His work merges synthetic gene circuit design with evolutionary biology to study cancer drug resistance and metastasis. Current projects include engineering gene circuits to perturb natural networks, and exploring how noise and heterogeneity influence cellular survival strategies.
Education: Ph.D. Physics (2001), M.S. Physics (1999) and M.S. Magnetism (1997) from University of Missouri and Babeş-Bolyai University. Academic career spans 20+ years with over 100 peer-reviewed publications. His lab develops predictive models of gene regulatory networks using principles like Maximum Caliber (MaxCal), and employs optogenetic tools for real-time cellular control. Balázsi’s research bridges physics, engineering, and biology to address fundamental questions in synthetic biology and translational oncology.
Awards and recognition include sustained NIH funding and leadership roles in interdisciplinary initiatives. His courses teach quantitative biology concepts at Stony Brook. Current projects aim to interface synthetic circuits with natural networks to control cancer phenotypes, with applications in personalized medicine and drug development.
