Dávid Deritei

Year of Enrollment: 
2015

Dávid studies the complex regulatory networks governing living cells. His main inquiries include the identification of stable motifs and their ability to control both empirical and synthetic regulatory networks, the effects of different types of noise on regulatory systems and their stability, as well as the hierarchical organisation of the decision making processes, more specifically, how can very complicated interactions be responsible for simple, discrete decisions on multiple levels.

Dávid is a physicist by training and had previous collaborations with Babes Bolyai University, Beth Israel Deaconess Medical Center - Harvard Medical School, University of Notre Dame and the College of Wooster. 

Publications

Deritei, Dávid, et al. "Community detection by graph Voronoi diagrams." New Journal of Physics 16.6 (2014): 063007.

Deritei, Dávid, et al. "Principles of dynamical modularity in biological regulatory networks." Scientific reports 6 (2016).

Lázár, Z. I., Papp, I., Varga, L., Járai-Szabó, F., Deritei, D., & Ercsey-Ravasz, M. (2017). Stochastic graph Voronoi tessellation reveals community structure. Physical Review E95(2), 022306.

Blog posts by or about Dávid on What's Up at DNDS:

Switching Behavior and Retail Electricity Market Liberalization

Patterns of Corruption and Collusion in Public Auctions

Principles of Dynamical Modularity in Biological Regulatory Networks

Center Has Strong Presence at Flagship Conference on Networks

A Novel Community Finding Method on Large Networks

Qualification

MSc, Computational Physics, Babes-Bolyai University, Cluj, Romania
BSc, Physics, Babes-Bolyai University, Cluj, Romania

Thesis