Debashis Barik
 Associate 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 - 2019
Associate Professor University of Hyderabad, 2020 - till now
Phone: +91- 40- 23134821, E-mail: 
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
  • Investigation of chemical noise in multisite phosphorylation chain using linear noise approximation, S. Das and D Barik, Physical Review E, 100, 052402, (2019)
  • Dichotomous nature of bistability generated by negative cooperativity in receptor-ligand binding, A. Dey and D Barik, ACS Synthetic Biology, 8, 1294, (2019)
  • Temperature dependent divergence of thermal conductivity in momentum conserving 1D lattices with asymmetric potential, Archana G R and D Barik, Phys. Rev. E, 99, 022103, (2019)
  • Mathematical modeling identifies Lck as a potential mediator for PD-1 induced inhibition of early TCR signaling, T. Arulraj and D Barik, PLoS ONE, 13, e0206232, (2018)
  • Parallel arrangements of positive feedback loops limit cell-to-cell variability in differentiation, A. Dey and D. Barik, PLoS ONE, 12, e0188623, (2017)