I am a postdoc in the Self-Organizing Systems Laboratory in the Department of Electrical Engineering at the University of Washington, working under the auspices of Eric Klavins.
My research interests are in the theory of stochastic dynamical systems. These types of systems are ubiquitous in engineering and nature, as they occur whenever the behavior of the system is affected by noise. I am interested in developing a framework for the modeling and analysis of stochastic processes that will allow us to design reliable engineered devices in several emerging application areas. I am particularly interested in systems consisting of stochastically interacting parts: at the nanoscale level, these parts may be proteins, nucleic acids, and other molecules inside the cell; at the macroscopic level, these parts may be robots randomly sharing information with each other or even people doing business with each other.
My primary research in this field related to the issues of observation, detection, and diagnosis in stochastic systems. Our ability to predict and control the behavior of many types of systems is limited by our inability to directly observe many modes of the system's behavior. This issue arises when trying to interpret fluorescence data from single-cell experiments and when trying to monitor the performance of chemical and nuclear processes. My recent work in this field is described on the Projects page.
I received my Ph.D. in 2006 from the Department of Electrical Engineering and Computer Science at the University of Michigan under the supervision of Demosthenis Teneketzis. Well before that, I earned a B.E.Sc. in Electrical Engineering from the University of Western Ontario in 2000.