Debashis Barik
 Assistant Professor 
Ph. D. Indian Association for the Cultivation of Science, 2006 
Postdoctoral Research    Virginia Tech, VA, USA, 2007 - 2010
  Memorial Sloan-Kettering Cancer Center, NY, USA, 2010 - 2012  
Assistant Professor

Jawaharlal Nehru University, 2013
University of Hyderabad, 2013 - Present
Phone: +91- 40- 23134821, E-mail: dbariksc@uohyd.ac.in 
Research Interests 
The ‘finite number effect’ in chemical reactions, known as chemical noise, is the main cause of creating population heterogeneity in a population of genetically identical cells. With the help of tools from physical chemistry, statistical physics and nonlinear dynamics, we investigate theoretically and computationally chemical noise propagation in networks of chemical reactions consisting various kinds of feedback and feed-forward regulatory motifs. We are developing statistical methods that utilize the steady sate variability of chemical species to predict causal relationship among chemical species in reaction networks. Further we are interested in proposing efficient computational methods for stochastic simulation of large chemical reaction networks. We computationally investigate thermal conduction in low dimensional lattices to establish the connection between macroscopic laws to the microscopic nature of physical systems.
Selected Publications
  • Parallel arrangements of positive feedback loops limit cell-to-cell variability in differentiation, A. Dey and D. Barik, PLoS ONE, 12, e0188623, (2017)
  • Steady state statistical correlations predict bistability in reaction motifs, S. Chakravarty and D. Barik, Molecular BioSystems, 13, 775, (2017)
  • A stochastic model of the yeast cell cycle reveals roles for feedback regulation in limiting cellular variability, D. Barik*, D. A. Ball, J. Peccoud and J. J. Tyson*, Plos Computational Biology 12(12),e1005230, (2016)
  • T cells translate individual, quantal activation into collective, analog cytokine responses via time-integrated feedbacks, K. E. Tkach, D. Barik, G. Voisinne, N. Malandro, M. M. Hathorn, J. W. Cotari, R. Vogel, T. Merghoub, J. Wolchok, O. Krichevsky,and G. Altan-Bonnet. eLife, 3, e01944, (2014). 
  • A model of yeast cell cycle regulation based on multisite phosphorylation, D. Barik, W. T. Baumann, M. R. Paul, B. Novak and J. J. Tyson. Molecular Systems Biology, 6, 405, (2010).