Abstract: Noise and stochastic effect exist in most biological systems due to many intrinsic and extrinsic factors. In this talk, I will discuss strategies and principles for noise attenuation and robustness to genetic and environmental perturbations in signal transduction, embryonic patterning, and regeneration driven by stem cells. In one case, I will introduce a critical quantity that dictates capability of attenuating temporal noise in feedback systems. In another case, I will show that noise in gene regulations actually enables reduction of stochastic effects in spatial patterns during embryonic development. Finally, novel experimental data that support our modeling and computational predictions will be presented and several multi-scale, stochastic, and computational modeling frameworks that are required for simulating such complex biological systems will be introduced.  

 

About the Speaker: Qing Nie is a Professor of Department of Mathematics and Department of Biomedical Engineering at the University of California, Irvine, and is the Director of the Center for Mathematical and Computational Biology (CMCB). He is also an affiliated faculty of Center for Complex Biological Systems (CCBS) and is currently serving as the Acting Director for the UCI Interdisciplinary Ph.D. Gateway Program on Mathematical and Computational Biology (MCB). 

  

Date&Time: June 3, 2013 (Monday),14:30 -15:30
Location:  606 Conference Room