Dr. Rakesh Pandey
School of Life Sciences, University of Hyderabad (P.O. Central University)
The area of my research lies at the interface of Physics, Biology, and Data Analysis. I use mathematical modeling as a tool to study biological systems and find regulatory mechanisms underlying an observed phenotype or pathogenesis of a disease. Developing mechanistic and predictive mathematical models and calibrating them using experimental data is a common theme of my research. Often, the publically available data cannot not be compared as it is with a model result and require some analysis. That’s why, I am interested in mathematical modelling as well as analysing different types of biological data.
We develop deterministic as well as stochastic models depending on the system and the sort of question to be answered. The deterministic models are mainly based on ordinary differential equations (ODE). We study the steady-state behavior of the system using Bifurcation Analysis techniques. It enables us to investigate changes in the steady-state behavior of the system if the model parameters are changed. Once the model is developed, that needs to be calibrated by comparing model results with known phenotypes or qualitative behavior of the system. It helps to find a range of possible values for each model parameters. If there is enough experimental data available, the unknown model parameters are estimated using linear or non-linear regression analysis. Such models would predict several phenotypes and hypotheses that could be tested experimentally. In turn, those experiments help to improve the models. This circle of modelling and experiments is one of the characteristics of Systems and Synthetic Biology.
My immediate interest lies in