- Mathematical and Statistical Modeling of Biological
Systems (metabolic, gene regulatory, and protein
- Experimental Characterization of Synthetically
- Synthetic and Systems Biology
I am interested in identifying patterns (structural and dynamical properties) from noisy biological data. I have been investigating the stochastic properties of gene regulatory systems by engineering E. coli cells in the aim to design novel cellular functions. I have a full spectrum of experience in standard molecular biology techniques, single-cell-level experiment, mathematical modeling, and computational and analytical analysis for biological systems.
During my doctoral studies, I conducted mathematical and computational (Monte-Carlo simulations) analyses on non-equilibrium stochastic processes under the direction of both Prof. den Nijs (Physics, University of Washington) and Prof. Qian (Applied Mathematics, University of Washington). I was trained to be a mathematical modeler and analyst.
In my post-doctoral research, my main effort was investigating stochastic biological networks with regard to modularity, stochasticity and nonlinearity, by using my inter-disciplinary background knowledge and skills developed in physics and applied mathematics. I took a leading role in supporting computational and mathematical research conducted by the group of Prof. Herbert Sauro (UW Bioengineering), in particular, focusing on synthetic network design and analysis.
Currently as an acting assistant professor I have been experimentally verifying the theoretical results that I obtained in my post-doctoral study, by re-engineering E. coli cells.
My theoretical studies were supported under an NSF grant in Theoretical Biology ($660K; 2008-2012) and the theories are currently under an experimental verification process with another NSF grant awarded from the Molecular and Cellular Biosciences program ($546K; 2012-2015).