Welcome! 

I am an Associate Professor in the Department of Mathematics and Statistics at the University of Maryland, Baltimore County (UMBC). My research focuses on stochastic modeling, analysis, and simulation to better understand complex problems in life sciences.

One of my primary research areas involves developing efficient simulation algorithms and approximation methods to reduce the complexity of stochastic reaction networks. Biological systems exhibit inherent stochasticity, with species varying widely in abundance and reactions occurring across multiple time scales. Leveraging these  multiscale properties allows for system reduction and significant acceleration of simulation algorithms. 

Another central interest is inferring system dynamics and parameter values  in stochastic reacion networks from available data. Such data may be collected at continuous or discrete time points and may include observations of all or only a subset of species. This line of work encompasses both system identification and parameter inference.

I am also interested in modeling biochemical systems where mathematical frameworks capture essential biological features. In these interdisciplinary studies, it is crutial to identify key biological questions, construct appropriate mathematical models, and compare their predictions with experimental data. One particular area of investigation concerns how enzymes form condensates and regulate metabolic pathways through these structures.